Reducing Data Gathering Delay for Energy Efficient Wireless Data Collection by Jointly Optimizing Path and Speed of Mobile Sink

Data gathering in wireless sensor networks (WSNs) using mobile sink (MS) reduces the uneven energy consumption of the sensors. However, the data gathering delay increases due to the slow speed of MS. Different MS-based data gathering methods have been proposed to reduce the data gathering delay, but these approaches failed to reduce the delay significantly. In this article, we present a data gathering scheme for single-hop data collection model. It finds a data gathering tour by considering the sensors' positions, their communication overlaps, and their data availability. Thereafter, the speed and data receiving schedule of the MS are optimized on the tour to ensure maximum data collection is completed in less time. The proposed article not only reduces the data gathering delay but also ensures maximum data collection from all the sensors. Moreover, the effect of the communication range of the sensors and the speed of the MS on the data-throughput are analyzed. Experimental results show that our solution outperforms existing works in terms of data gathering delay, idle-time, and data-throughput.