Browsing by Author "Kisangiri, Michael"

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Analysis of effectiveness of channels for information gathering and dissemination: Case of fisheries stakeholders in Mwanza and Mara regions of Tanzania
(Routledge, 2022-05-24) Kusyama, Sadiki; Machuve, Dina; Kisangiri, Michael; Mfanga, Abswaid
The fisheries sub-sector in Tanzania is challenged with limited use of Information and Communication Technology (ICT) for information gathering and dissemination. Fishers obtain fisheries information from extension officers and their fellow fishers through mainly word of mouth in physical meetings. Despite the growth in access and availability of ICT channels on Mobile phones and Internet in recent years, the fisheries sub-sector decision-makers mainly use conventional media (radio, television, personal communications) in gathering and disseminating fisheries information. Understanding the characteristics of communication channels and their effectiveness in fisheries information gathering and dissemination is of great importance. A comprehensive comparison of the six ICT channels (short message services, cellular phone call, television, radio, mobile application, and website) was done in this study using effectiveness probability. The findings from this study indicated that, short message service (SMS) and cellular phone calls are most effective for fishers. Mobile application, cellular phone calls, websites, and SMS are effective for fish traders and fisheries officers. However, the cellular phone call was not cost-effective compared to mobile applications and websites. This study recommends the development of multi-channel (SMS, web-based, and mobile application) fisheries information system to enhance fisheries information gathering and dissemination process to meet realistic information needs of all fisheries stakeholders.
The Artificial Neural Network-Based Smart Number Plate for Vehicles with Real-Time Traffic Signs Recognition and Notification
(Springer Link, 2024-06-30) Niyomugaba, Alexandre; Kisangiri, Michael; Mduma, Neema
The world is advancing technologically in all sectors, including intelligent transportation, whereby various vehicles’ movements are monitored and controlled remotely. These technologies simplify the tasks in traffic control and increase road safety. The previous related works implemented and designed provided different technologies that can identify, locate, and detect the vehicle’s speed. However, even though these technologies have been implemented, there is still a lack of assistance to drivers for earlier knowing the road situation and real-time accident notification to dedicated authorities such as traffic police stations. In this paper, an Artificial Neural Network-based Smart Number Plate with real-time traffic sign recognition and notification was developed. The developed number plate comprises two units, the processing unit and the display unit, which both communicate through wireless communication. The processing unit contains a speed sensor and vibration shock sensors, Global System for Mobile Communication (GSM), Global Position System (GPS), and Raspberry Pi 3 B+ that act as the system controller. The display unit contains the Expressif board, Liquid crystal Display (LCD), and Buzzer. With the TensorFlow model for machine learning, the smart number plate classifies and recognizes traffic signs with real-time notification. Moreover, this number plate had been tested on different drivers and assisted them in obeying the traffic signs earlier, and the traffic station had been alerted for emergency support.
A comprehensive survey on linear programming and energy optimization methods for maximizing lifetime of wireless sensor network
(Springer Link, 2024-07-17) Machiwa, Erick; Masanja, Verdiana; Kisangiri, Michael; Matiko, Joseph
The wireless sensor network (WSN) is considered as a network, encompassing small-embedded devices named sensors that are wirelessly connected to one another for data forwarding within the network. These sensor nodes (SNs) follow an ad-hoc configuration and are connected with the Base Station (BS) through the internet for data sharing. When more amounts of data are shared from several SNs, traffic arises within the network, and controlling and balancing the traffic loads (TLs) are significant. The TLs are the amount of data shared by the network in a given time. Balancing these loads will extend the network’s lifetime and reduce the energy consumption (EC) rate of SNs. Thus, the Load Balancing (LB) within the network is very efficient for the network’s energy optimization (EO). However, this EO is the major challenging part of WSN. Several existing research concentrated and worked on energy-efficient LB optimization to prolong the lifetime of the WSN. Therefore, this review collectively presents a detailed survey of the linear programming (LP)-based optimization models and alternative optimization models for energy-efficient LB in WSN. LP is a technique used to maximize or minimize the linear function, which is subjected to linear constraints. The LP methods are utilized for modeling the features, deploying, and locating the sensors in WSN. The analysis proved the efficacy of the developed model based on its fault tolerance rate, latency, topological changes, and EC rates. Thus, this survey briefly explained the pros and cons of the developed load-balancing schemes for EO in WSN.
Deep learning-based mobile application for the enhancement of pneumonia medical imaging analysis: A case-study of West-Meru Hospital
(Elsevier, 2024-09) Kimeu, Japheth; Kisangiri, Michael; Mbelwa, Hope; Leo, Judith
Pneumonia remains a significant global health challenge, demanding innovative solutions. This study presents a novel approach to pneumonia diagnosis and medical imaging analysis, leveraging advanced technologies. The study used a Literature Review Methodology to study various scientific articles and involved healthcare staff, including Doctors, Nurses, Radiologists and the community, in sharing their requirements for the study. The findings led to the proposal for the integration of Deep Learning techniques, including Convolutional Neural Network (CNN), as well as tools like YOLOv8, Roboflow, and Ultralytics, to revolutionize pneumonia detection and classification. The EfficientDet-Lite2 model architecture was subsequently used to generate a TensorFlow Lite Model, deployable in both Android and iOS mobile applications. The study’s outcomes reveal a substantial improvement in the precision and recall metrics. These results signify a promising step forward in empowering healthcare professionals with timely and reliable results for optimal patient management.
Design a Services Architecture for Mobile-Based Agro-Goods Transport and Commerce System
(Hindawi, 2022-01-27) Nchimbi, Stivin; Kisangiri, Michael; Dida, Mussa; Barakabitze, Alcardo
Despite massive mobile phones adoption globally, Agriculture Supply Chain (ASC) in Tanzania is challenged by the low adoption of m-commerce integrated to m-payment and m-transport services as key information enablers for efficiently linking farmers to buyers. With such an inefficient and ineffective information gap, middlemen have become information custodians by decreasing farmers’ bargaining power in the market. In addressing the challenge, this study uses stakeholders to validate core services needed and proposes service architecture for Agro-Goods Transport and Commerce (AgroTC) system using installable and build-in mobile phone applications (internet web, mobile apps, and USSD). The proposed method appreciates a user-centric approach for system development. A scenario of the potato supply chain in Tanzania was considered where 2309 respondents were interviewed from farmers, buyers, and transport service providers from a predetermined sample size (n = 384) having a 95% confidence level. Data were collected using mobile phones configured with Open Data Kit (ODK) technology and analyzed using the R Studio tool with Pandas libraries. The results indicated that buyers were not interested in disease and land management information. Collectively, farmers (74%) and buyers (60%) highly demand m-commerce services as a virtual platform for linking them. Only farmers showed concern about disease management information. Furthermore, 35% of the farmers and 57% of the buyers need m-transport, whereas 35% of the farmers and 69% of the buyers need m-payment service Deleted. It was revealed that the remaining percentages lack knowledge on mobile phone features to perform online businesses. All transport service providers pointed to the challenge of existing middlemen in reaching customers and required technological change in managing transport systems. The proposed mobile-based AgroTC architecture provides a foundation business approach in Tanzania and many developing countries. System developers and innovators can use the proposed architecture design to design prototypes using the preferred language to meet ASC stakeholders’ needs and expectations
Designing of UHF- Radio Frequency Identification (RFID) Antenna
(IJSER, 2013-11) Swagarya, Godbless; Boaz, Lawrence; Kisangiri, Michael
Radio frequency identification (RFID) as a rapid developing automatic wireless data collection technology, set interest for industrials and government applications. The demand on the automated supply chain and logistics has been pervasive, aiming to replace the tedious bar-code labeling, and has driven an increasing number of research activities on the RFID as alternative solution. Regardless of the type, all RFID tags have two main components: an antenna which transmits and receives data and an integrated circuit (IC) called transponder that handles the data processing, data storing and signal modulating. This paper gives an insight look on RFID technology, concept theory for passive RFID antenna, impedance matching, and antenna size reduction techniques. The designing and simulation for passive UHF-RFID antenna is presented.
Development of a smart ugali cooker
(International Journal of Advanced Technology and Engineering Exploration, 2021-02-21) Katwale, Samwel; Daudi, Ngollo; Hassan, Amran; Mduma, Neema; Dida, Mussa; Kisangiri, Michael
Ugali is a thick porridge that is one of the popular staple foods in East Africa. Traditional methods of ugali preparation, cooking, and consumption are described. Firewood has been used as the primary energy source followed by charcoal. In East Africa, electricity grids have expanded and reached a wider network, which has opened opportunities for electric cooking to domestic consumers, especially in urban that was previously dominated by charcoal, which is in scarce supply due to government regulations on environmental conservation. In this project, the smart ugali cooker was designed and developed to automate the process of cooking ugali in households which is faster, safer, and healthier. The smart Ugali cooker is an automated kitchen appliance designed to boil the mixture of water and maize flour into a dough mixture referred to as ugali. It consists of a driving motor, stirrer, flour dispenser, heat source, a cooking pan, a temperature sensor that measures the temperature of the boiling water in the pan, and the control system (Arduino board). The device has basic units that are a dispenser, stirring unit, electronic control unit, pan, and electric heater. These units were fabricated and integrated to form the complete cooking device. Thereafter, the Arduino board was programmed to control the cooking process. Cooking experiments were conducted, on the cooking duration and the texture of ugali based on water to flour ratio. The results showed that ugali was cooked after ten minutes and the quality was good for consumption. In recommendation, the rightful flour to water ratio must be applied to obtain the desired texture of ugali
Development of an Access Point Positioning Algorithm under the Changing in Environment and Users’ density Estimation
(Asian Journal of Computer and Information Systems, 2014-06) Kazema, Twahir; Kisangiri, Michael; Machuve, Dina
In many wireless networks a single hop is all that is needed or in fact tolerable. The physical region where network is available is known as a coverage area. Generally, a transmitter and a receiver may exchange data by using one or more intermediate relays. In each case a path through the network must be found whereby each hop has a Signal to Interference Noise Ratio greater than ß. There are several ways to describe and compute network connectivity, but at the core, they all need that individual pairs are able to communicate, which is dictated by the SINR. This paper is going to develop an Access Point positioning algorithm by considering the changes of environment and users’ density estimation.
The effect of real ground on dual band Yagi-Uda antenna
(IJERT, 2013-10) Mollel, Michael; Kisangiri, Michael
This paper aims to analyse radiation pattern for horizontally polarised dual band Yagi-Uda antenna (900/1800 MHz) with the presence of real ground. Simulations were performed at 920 MHz and 1780 MHz and antenna were placed in different distance from the ground. Simulation results of radiation pattern are calculated in the H-plane of the antenna. A simulation without the ground plane are compared with the result from the one with the real ground. The result shows that the ground plane greatly influences the radiation pattern and increases the gain of H plane significantly.
Handover Management in Dense Networks with Coverage Prediction from Sparse Networks
(IEEE, 2019) Mollel, Michael; Ozturk, Metin; Kisangiri, Michael; Kaijage, Shubi; Onireti, Oluwakayode; Imran, Muhammad; Abbasi, Qammer
Millimeter Wave (mm-Wave) provides high bandwidth and is expected to increase the capacity of the network thousand-fold in the future generations of mobile communications. However, since mm-Wave is sensitive to blockage and incurs in a high penetration loss, it has increased complexity and bottleneck in the realization of substantial gain. Network densification, as a solution for sensitivity and blockage, increases handover (HO) rate, unnecessary and ping-pong HO’s, which in turn reduces the throughput of the network. On the other hand, to minimize the effect of increased HO rate, Time to Trigger (TTT) and Hysteresis factor (H) have been used in Long Term Evolution (LTE). In this paper, we primarily present two different networks based on Evolved NodeB (eNB) density: sparse and dense. As their name also suggests, the eNB density in the dense network is higher than the sparse network. Hence, we proposed an optimal eNB selection mechanism for 5G intra-mobility HO based on spatial information of the sparse eNB network. In this approach, User Equipment (UE) in the dense network is connected only to a few selected eNBs, which are delivered from the sparse network, in the first place. HO event occurs only when the serving eNB can no longer satisfy the minimum Signal-to-Noise Ratio (SNR) threshold. For the eNBs, which are deployed in the dense network, follow the conventional HO procedure. Results reveal that the HO rate is decreased significantly with the proposed approach for the TTT values between 0 ms to 256 ms while keeping the radio link failure (RLF) at an acceptable level; less than 2% for the TTT values between 0 ms to 160 ms. This study paves a way for HO management in the future 5G network.
Mobile Application for Research Knowledge Sharing and Dissemination: The Case of Nm-Aist Univeristy Tanzania
(Scientific Research Publishing Inc, 2022-07-20) Kemhe, Justine; Luhanga, Edith; Kisangiri, Michael
The utilization of mobile and web applications has surpassed all other plat- forms in terms of disseminating researchers’ knowledge among diverse com- munities throughout the world. The current method of disseminating re- searchers’ knowledge to the communities in the Arusha region in Tanzania is through meetings, workshops, and focus group discussions held by research- ers, agricultural extension officers and community members after every three months or during field study. Yet the strategy is inefficient and ineffective in practice. The purpose of this study was to determine the most efficient and successful method of disseminating knowledge in communities. The study began with a qualitative phase, utilizing an interpretive technique and a qua- litative multiple case study research design. The Arusha region in Tanzania was selected as a case study where different social activities were undertaken, including farming, livestock keeping, tourism activities and fishing. Individu- al participants were interviewed by using a semi-structured questionnaire. In addition, focus group discussions were conducted to gather more information regarding the needs of the mobile application. Through the implementation of the application, the second phase of the study led to the development of a mobile application that includes community members, agricultural extension officers, and researchers that will enable anyone to install the application on their mobile phones to access knowledge regarding activities undertaken in Arusha. According to the findings of the first phase of the research, a sub- stantial percentage of community members own mobile phones, and hence a mobile application would be sufficient. The research also found that most re- searcher-community interactions occur at the data collection and interven- tion assessment (field trials) stages. Hence, the mobile application will benefit community members, district agricultural, irrigation, and cooperative officers (DAICO), and researchers.
A Monitoring System for Transboundary Foot and Mouth Disease (FMD) considering the Demographic Characteristics in Gairo, Tanzania
(Engineering, Technology & Applied Science Research (ETASR), 2021-08) Kijazi, Ahmed; Kisangiri, Michael; Kaijage, Shubi; Shirima, Gabriel
Foot and Mouth Disease (FMD) is present in many countries, including Tanzania. Gairo is among the districts that frequently face FMD. This study found that the current mechanism for communicating FMD in Gairo district suffers from a long chain of information flow that causes delay and insufficient information for FMD control. Therefore, this study aimed to explore the implementation of an information system named "Monitoring System for Transboundary Foot and Mouth Disease," developed purposely to provide a standard platform for communicating FMD between livestock keepers and other stakeholders in the district. The system enables timely sharing of FMD events such as outbreaks, precaution measures, clinical signs, and negative impacts using Short Message Services (SMS), Unstructured Supplementary Service Data (USSD), and Voice Calls (robo-calls) through the mobile phones. Also, livestock keepers may report FMD outbreaks direct to the system using feature phones. The Statistical Package for Social Sciences (SPSS) was used to analyze data and Microsoft Visio was used for drawing the system architecture and information flow diagram. Finally, the system was implemented using PHP hypertext processor, JQuery, HTML, JSON, JavaScript, MySQL, and Apache webserver.
Multifunctional network monitoring system using SMS
(IEEE, 2014-07-14) Kijazi, Ahmed; Kisangiri, Michael
Network monitoring is very important for the reliable operation of any network, monitoring is not only concerned with the monitoring of its performance and availability, but also monitoring of network operating environment, because they are both contributing to the reliable operated network. For the effective network monitoring, it is better for Network administrators being intact with both instant network operations as well as different hazards such as fire, water, humidity, power fluctuation and temperature even if they are not physically present in the network operation room. The objective of this paper is to provide an efficient remote Local area Network (LAN) monitoring, mainly focusing on Server room devices and its environment sensors for network administrators ,
Participation-reputation based incentive game model (PRIGM) for trustworthy fisheries information collection and dissemination framework
(Accent Social and Welfare Society, 2020-09-01) Kusyama, Sadiki; Machuve, Dina; Kisangiri, Michael; Mfanga, Abuswaid
The fisheries and aquaculture sectors worldwide use Information and communication technologies (ICT) to collect and disseminate fisheries information. Currently, the African member state is significantly strengthening the use of ICT systems in data collection and dissemination to ensure timely access and accurate fisheries information. Fisheries stakeholders are obliged to submit and retrieve information honestly as well as provide feedback voluntarily. We conducted ancient literature reviews to discover worldwide and indigenous struggles towards developing and implementing fisheries data collection and dissemination systems. Existing worldwide and indigenous innovation systems bases on voluntary user participation and lacks effective incentive mechanisms. However, due to dishonest human behavior, such a promise is impractical. Without an efficient mechanism to incentivize fisheries stakeholders, it would not be easy to achieve the required system adoption and performance. This paper proposed an evolutionary participation-reputation incentive game-based mechanism (PRIGM) to motivate fisheries stakeholders to contribute accurate information, retrieve information, and return honest feedback to the system. Our proposed model adopts stakeholder participation and reputation as merit to incentivize the honest stakeholder and punish the dishonest one. Our proposed PRIGIM model modeled the stakeholder's participation as an evolutionary game and coded the model using the python programming language. We simulated the model in five cases using randomly generated data, each with four-game rounds plays, using a different number of stakeholder participants in each case. Lastly, we used a bar chart graph to evaluate stakeholder's honest and dishonest behavior. The simulation results show that no matter the population of stakeholders, many stakeholders choose a dishonest strategy at the beginning of the game; after several game rounds, most stakeholders will be motivated to choose a simple strategy. Our simulation results proved that PRIGIM effectively motivates stakeholders to use the system, contribute accurate information, and return truthful feedback.
A Proposed Information System for Communicating Foot-and-Mouth Disease Events among Livestock Stakeholders in Gairo District, Morogoro Region, Tanzania
(Hindawi, 2021-04-21) Kijazi, Ahmed; Kisangiri, Michael; Kaijage, Shubi; Shirima, Gabriel
Foot-and-Mouth Disease (FMD) is present in many countries globally, including Tanzania, especially Gairo district. The data shows that 78% of livestock keepers in Gairo district had already observed FMD infection in their cattle, and the pastoral communities were mostly affected. Currently, vaccination is the main tool for controlling FMD because there are no therapeutic intervention tools. Therefore, effective communication among livestock stakeholders can be used as an essential tool of preparedness for the disease’s impact. This study had two specific objectives: (i) to explore the challenges of communicating FMD events among livestock keepers and other livestock stakeholders in Gairo district and (ii) to propose an information system for sharing FMD events among the livestock stakeholders in Gairo district. The study found that there was a delay when communicating FMD events in Gairo district due to the long chain of information flow. Therefore, the system aims to reduce the communication chain by allowing livestock keepers to report disease outbreaks directly to the system. Livestock keepers may also access FMD precaution measures, negative impacts, clinical signs transmission ways, and current outbreaks directly from the system using Unstructured Supplementary Service Data (USSD), Short Message Services (SMS), robocalls, and feature phones. The system also provides a common platform for sharing FMD outbreaks data and events to other stakeholders based on the system’s privileges. In this study, a closed-ended interview using a questionnaire was used for data collection. The PHP hypertext processor, jQuery, HTML, JSON, JavaScript, Apache web server, and MySQL database were used for developing the system.
Real-Time IoT-Based Air Quality Monitoring and Health Hazards Indicator System for Mines Regions: A Case Study of Bulyanhulu Gold Mine
(International Journal of Computer Science and Mobile Computing, 2023-07) Flavian, Daudi; Sinde, Ramadhani; Kisangiri, Michael
Air quality in mining regions is a significant concern due to the release of pollutants from mining activities, posing health risks to nearby communities. However, limited information on air quality levels often leads to neglect of this issue. Inhaling pollutants like PM2.5/PM10, CO, CO2, SO2, and NO2 can result in chronic diseases such as respiratory issues, asthma, and cancer. To tackle this problem, a study suggests the implementation of a real-time Internet of Things (IoT)-based air quality monitoring and health hazards indicator system for mining regions. The proposed system utilizes a reliable wireless sensing system, incorporating sensors like MQ7, MQ135, MQ136, MiCS4514, PMS7003, and DHT22, along with ESP8266, STM32, ATmega328 microcontroller, LoRa shields, and the ThingSpeak IoT server. It ensures continuous operation with a self-contained design, including a solar charger shield connected to a photovoltaic solar panel and rechargeable battery. The smart sensing device continuously monitors air quality and uploads real-time data to the cloud through a coordinator node. The collected data is processed to calculate the Air Quality Index (AQI), which is analyzed to generate early warnings and indicate potential health hazards. The results are accessible through a web-based dashboard for easy visualization. This system simplifies monitoring and provides accurate pollutant data. It supports environmental stakeholders by aggregating and analyzing air quality data, generating reports, and facilitating public access to air quality information. Additionally, it helps identify health hazards, enabling informed decision-making, policy formulation, and mitigation strategies.
A Review Development of Digital Library Resources at University Level
(Hindawi, 2021-02-16) Kato, Agrey; Kisangiri, Michael; Kaijage, Shubi
This study considered the development, awareness, adoption, and usage of digital library (DL) resources at the university level. To develop and implement a successful electronic library resource system, it is vital to review the success factors and identify the most important technological aspects of DL resources. Electronic library information technology was described and grouped into several categories that influence user satisfaction in a DL context. These are open access to information, the facility of access, uncomplicated interface design, high quality of the communication process, Internet performance, performance assurance service, ease of communication via social network, and patron-driven acquisition. With these important features of DL services, the simplicity of accessing online information and the performance of DL utilities have become of paramount importance. Several research works were therefore reviewed and evaluated to determine the usability of DL services; thereafter, the design of the DL discovery system was developed through Blacklight open-source software.
A review of image reconstruction methods in electrical capacitance tomography
(J. Math. Comput. Sci., 2016) Nombo, Josiah; Mwambela, Alfred; Kisangiri, Michael
In this paper, we review image reconstruction methods and their suitability in electrical capacitance tomography measurement system. These methods can be grouped into direct and iterative methods. Direct meth- ods include Linear back projection, Singular value decomposition, and Tikhonov regularization. Iterative methods are further divided into algebraic and optimization methods. Algebraic reconstruction methods include itera- tive linear back projection, iterative Tikhonov, Landweber iteration, simultaneously algebraic reconstruction, and model−based reconstruction. Optimization methods include fuzzy mathematical modeling, genetic algorithms, artificial neural networks, generalized vector sampled pattern matching, total variation regularization, regularized total least squares, extended Tikhonov regularization, simulated annealing, compressed sensing principle, popu- lation entropy, adaptive differential evolution, least−squares support vector machine, and self-adaptive particle swarm optimization. Some of these methods have been examined through experiments and their comparative analysis have been given. Results show that iterative methods generate high quality images compared with non- iterative ones when evaluated over full component fraction range. However, iterative methods are computationally expensive, and hence used for research and off-line investigations rather than for on-line process monitoring
A Survey of Machine Learning Applications to Handover Management in 5G and Beyond
(IEEE, 2021-03-14) Mollel, Michael; Abubakar, Attai; Ozturk, Metin; Kaijage, Shubi; Kisangiri, Michael; Imran, Muhammad; Abbasi, Qammer
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication networks that need to be properly managed since it poses multiple threats to quality-of-service (QoS) such as the reduction in the average throughput as well as service interruptions. With the introduction of new enablers for fifth-generation (5G) networks, such as millimetre wave (mm-wave) communications, network densification, Internet of things (IoT), etc., HO management is provisioned to be more challenging as the number of base stations (BSs) per unit area, and the number of connections has been dramatically rising. Considering the stringent requirements that have been newly released in the standards of 5G networks, the level of the challenge is multiplied. To this end, intelligent HO management schemes have been proposed and tested in the literature, paving the way for tackling these challenges more efficiently and effectively. In this survey, we aim at revealing the current status of cellular networks and discussing mobility and HO management in 5G alongside the general characteristics of 5G networks. We provide an extensive tutorial on HO management in 5G networks accompanied by a discussion on machine learning (ML) applications to HO management. A novel taxonomy in terms of the source of data to be utilized in training ML algorithms is produced, where two broad categories are considered; namely, visual data and network data. The state-of- the-art on ML-aided HO management in cellular networks under each category is extensively reviewed with the most recent studies, and the challenges, as well as future research directions, are detailed
Towards an Integrated Mobile Technology on Animal Disease Surveillance Framework in Tanzania : A Systematic Review Summary of Reviewed Literature
(IADITI, 2022) Kijazi, Ahmed; Kisangiri, Michael; Kaijage, Shubi; Shirima, Gabriel
Tanzanian Government, through its national audit office in March 2020, reported the prevalence decline of two animal diseases, namely; Foot and Mouth Disease (FMD) and Contagious Bovine Pleuropneumonia (CBPP). Similarly, an increase in three animal diseases, which are African Swine Fever (ASV), Contagious CaprinePleuropneumonia (CCPP), and Lumpy Skin Disease (LSD). The national audit office mentioned inadequate animal disease surveillance system in the country was among the challenges that hinder diseases control. Therefore, this study reviews the existing animal diseases surveillance systems global and suggests measures to enhance animal diseases surveillance systems in Tanzania. This review focuses on the possibility of sharing surveillance data among livestock stakeholders (including livestock keepers) in Tanzania, considering available resources such as animal diseases existing prediction models and mobile-based surveillance systems. Also, the availability of mobile technologies such as Short Message Service (SMS), Unstructured Supplementary Service Data (USSD) andautomatic voice calls (Robocalls). Reviews synthesize the previous studies to explore strengths, opportunities, weaknesses and challenges for better future interventions through proper and timely information sharing. This study selected 46 records from the 147 identified for review. The selected records include 24 from bibliographic databases, 14 from full-text journals and other non-bibliographic d