Wireless Sensor Networks (WSNs) have been emerged i n many important aspects in the real world, such as industry, agriculture, and military applications. A s the main challenge that WSNs facing is the energy consumption, it is necessary... more
Wireless Sensor Networks (WSNs) have been emerged i n many important aspects in the real world, such as industry, agriculture, and military applications. A s the main challenge that WSNs facing is the energy consumption, it is necessary to investigate the sui tability of using mobile sinks for data collection in these networks. In this paper, therefore, a new data gath ering technique with mobile elements referred to as Intersection Point of Communication Ranges (IPCR) i s proposed. The IPCR algorithm endeavours to compute the optimal trajectory of the mobile sink f or which the data collection latency is reduced. Simulation results presented in this study showed t hat the IPCR algorithm has achieved the optimal Tra vel Sales-Man Problem algorithm. In addition, the IPCR algorithm outperformed the Connectivity Based Data Collection (CBDC) algorithm in terms of data gather ing latency and network throughput.
