Faculté des mathématiques et de l'informatique
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Item An Optimized Protocol for Mobile Sink Position Dissemination in Wireless Sensor Networks(university of bordj bou arreridj, 2025) Yasmine HAMMACHE; Aya Hiba BERGHEULIn wireless sensor networks, the mobility of the sink improves data collection efficiency; however, it presents new issues as sensor nodes must be aware of the mobile sink’s current loca tion. The dissemination of this location via flooding results in increased energy consumption. This study presents a new protocol called An Optimized Protocol for Mobile Sink Position Dissemination in Wireless Sensor Networks (OPMPD), which is specifically designed for sce narios involving random movement of the sink and event-based data collection. The proposed solution seeks to address the aforementioned problem, wherein specific chosen nodes retain the sink’s latest position while decreasing energy consumption and controlling overhead. Using the NS-3 simulator, the performance of OPMPD is assessed, and the results, depicted through graphs, demonstrate its superiority over the comparison protocol known as VGB across various metrics achieving 63.25 % reduction in energy consumption, 47,52 % improvement in network lifetime, and 86.17 % reduction in control overhead.Item Enhanced Data Collection by Strategically Selecting Visiting Points for Mobile Sink in Wireless Sensor Networks(university of bordj bou arreridj, 2025) Ichrak MADOUI; Ibtissem NOUIOUAThis study examines issues related to data collection in wireless sensor networks (WSNs) using mobile sinks. Wefocusonoptimizingthis collection process to improve energy-efficiency, extend network lifetime, and reduce data collection delay. To address these issues, we propose a novel approach called EDCVP, which stands for Enhanced Data Collection via Visiting Points, wherein the mobile sink adheres to a predetermined trajectory for data collection. EDCVP presents a structured method for selecting visiting points (VPs), locations where the mobile sink halts to collect data. These points are carefully selected to reduce the mobile sink’s tour length and, hence, the data collection latency. We assessed the efficiency of the proposed pro tocol by implementing and comparing it in conjunction with the related protocol, EDEDA, using the NS-3 simulator. A series of experiments was done under different parameter settings. The simulation results demonstrate the effectiveness of our approach relative to EDEDA: ED CVPreduces energy consumption by 4%, prolongs network lifetime by 10.63%, minimizes the mobile sink’s tour length by 88.72% and decreases data collection delay by 140.57%. These improvements confirm the efficiency of EDCVP in enhancing overall network performance in WSNs.Item Enhanced Data Collection by Strategically Selecting Visiting Points for Mobile Sink in Wireless Sensor Networks(university of bordj bou arreridj, 2025) Ichrak MADOUI; Ibtissem NOUIOUAThis study examines issues related to data collection in wireless sensor networks (WSNs) using mobile sinks. Wefocusonoptimizingthis collection process to improve energy-efficiency, extend network lifetime, and reduce data collection delay. To address these issues, we propose a novel approach called EDCVP, which stands for Enhanced Data Collection via Visiting Points, wherein the mobile sink adheres to a predetermined trajectory for data collection. EDCVP presents a structured method for selecting visiting points (VPs), locations where the mobile sink halts to collect data. These points are carefully selected to reduce the mobile sink’s tour length and, hence, the data collection latency. We assessed the efficiency of the proposed pro tocol by implementing and comparing it in conjunction with the related protocol, EDEDA, using the NS-3 simulator. A series of experiments was done under different parameter settings. The simulation results demonstrate the effectiveness of our approach relative to EDEDA: ED CVPreduces energy consumption by 4%, prolongs network lifetime by 10.63%, minimizes the mobile sink’s tour length by 88.72% and decreases data collection delay by 140.57%. These improvements confirm the efficiency of EDCVP in enhancing overall network performance in WSNs.