Browsing by Author "Sanga, Camilius A"

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Energy-efficient task offloading strategy in mobile edge computing for resource-intensive mobile applications
(Science Direct, 2022) Mahenge, Michael Pendo John; Li, Chunlin; Sanga, Camilius A
Mobile Edge Computing (MEC) has been considered a promising solution that can address capacity and perfor- mance challenges in legacy systems such as Mobile Cloud Computing (MCC). In particular, such challenges include intolerable delay, congestion in the core network, insufficient Quality of Experience (QoE), high cost of resource utility, such as energy and bandwidth. The aforementioned challenges originate from limited resources in mobile devices, the multi-hop connection between end-users and the cloud, high pressure from computation- intensive and delay-critical applications. Considering the limited resource setting at the MEC, improving the efficiency of task offloading in terms of both energy and delay in MEC applications is an important and urgent problem to be solved. In this paper, the key objective is to propose a task offloading scheme that minimizes the overall energy consumption along with satisfying capacity and delay requirements. Thus, we propose a MEC- assisted energy-efficient task offloading scheme that leverages the cooperative MEC framework. To achieve en- ergy efficiency, we propose a novel hybrid approach established based on Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO) to solve the optimization problem. The proposed approach considers efficient resource allocation such as sub-carriers, power, and bandwidth for offloading to guarantee minimum energy consumption. The simulation results demonstrate that the proposed strategy is computational-efficient compared to benchmark methods. Moreover, it improves energy utilization, energy gain, response delay, and offloading utility.
A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis
(International Journal of Geo-Information, 2020-12-09) Lyimo, Neema Nicodemus; Shao, Zhenfeng; Ally, Ally Mgelwa; Twumasi, Nana Yaw Danquah; Altan, Orhan; Sanga, Camilius A
Besides OpenStreetMap (OSM), there are other local sources, such as open government data (OGD), that have the potential to enrich the modeling process with decision criteria that uniquely reflect some local patterns. However, both data are affected by uncertainty issues, which limits their usability. This work addresses the imprecisions on suitability layers generated from such data. The proposed method is founded on fuzzy logic theories. The model integrates OGD, OSM data and remote sensing products and generate reliable landfill suitability results. A comparison analysis demonstrates that the proposed method generates more accurate, representative and reliable suitability results than traditional methods. Furthermore, the method has facilitated the introduction of open government data for suitability studies, whose fusion improved estimations of population distribution and land-use mapping than solely relying on free remotely sensed images. The proposed method is applicable for preparing decision maps from open datasets that have undergone similar generalization procedures as the source of their uncertainty. The study provides evidence for the applicability of OGD and other related open data initiatives (ODIs) for land-use suitability studies, especially in developing countries.
Influence of socio-demographic factors on the use of mobile phones in accessing rice information on climate change adaptation in Tanzania
(Emerald Publishing Limited, 2018-09) Mwalukasa, Nicholaus; Mlozi, Malongo R.S; Sanga, Camilius A
The purpose of this study was to examine socio-demographic factors influencing the use of mobile phones in accessing rice information on climate change adaptation by rain-fed farmers in Tanzania with reference to Morogoro region. Design/methodology/approach – A cross-sectional research design was used to collect data from 400 randomly selected rain-fed rice farmers owning mobile phones. Semi-structured questionnaires were used for data collection in eight selected wards in two districts of Kilombero and Kilosa districts in Morogoro Region, Tanzania. Findings – The findings of the study showed that the use of mobile phones to access rice information on climate change adaptation was statistically significantly influenced by respondents’ sex, age, education level, marital status, farm size, farming experience, radio ownership and off-farm incomes. Furthermore, the use of mobile phones in accessing rice information on climate change adaptation among the study districts was not statistically significant. Practical implications – This paper provides practical recommendations on how to improve accessibility of rice information through mobile phones on climate change adaptation. Implementation of information delivery system to farmers using mobile phones without ascertaining farmers’ socio- demographic characteristics leads to resource underutilization. Originality/value – The paper provides appropriate knowledge that is needed in improving access to information through mobile phones by Tanzanian farmers and in other communities in developing countries with the aid of the additional theoretical moderators of unified theory of acceptance and use of technology as the research findings suggest. Moderators’ variables have high influence on farmers’ use of mobile phones on accessing rice information on climate change adaptation.
Poultry farmers’ information needs and extension advices in Kilosa, Tanzania: evidence from Mobile-based extension, advisory and learning system (meals)
(University of Nebraska - Lincoln, 2018) Msoffe, Grace; Chengula, Augustino; Kipanyula, Maulilio J; Mlozi, Malongo R.S; Sanga, Camilius A
Poultry farmers need different information in order to improve their farming and contribute to the national economy. Information on poultry management is usually obtained from family members, friends, and neighbors with previous experience, extension officers, researchers, Television, radio, web and mobile based agriculture information systems. Promoting utilisation of vetted sources of information is envisaged to support poultry farmers in making informed decisions about management practices. This in turn will result into increased poultry productivity. Objective: Many researches have been done to evaluate various information sources but few have been done to evaluate the mobile based extension, advisory and learning system here referred to “UshauriKilimo”. This study particularly assessed poultry farmers’ information needs and extension advices given through the agro-advisory system among farmers in Kilosa district of Tanzania. The objective was to determine poultry farmers’ information needs submitted through “UshauriKilimo” and resulting advisory responses. Method: ICT based agro-advisory system 'UshauriKilimo' was deployed and used by poutry famrers for more than two years. The data from it were used to assess poultry farmers information needs. Only questions and advisory responses addressing poultry farming were analysed. These data were imported into the Qualitative Data Analysis Software, MAXQDA Plus 12 (Release 12.2.0) where they were coded, counted and analysed. Frequencies of variables were performed during content analysis. Results: More than 340 farmers used “UshauriKilimo” for the period of two years. There were more than 1500 questions and answers which contained 320 questions related to poultry farming. Most of the poultry farmers who used “UshauriKilimo” sought information on health management aspects (diseases transmission, diagnosis, treatment and control); egg production; chicken feeds and feeding; chicken breeds and housing aspects. Information on markets was the least used.