HPDMS: high-performance data harvesting in wireless sensor networks with mobile sinks

Exploiting mobile sinks (MSs) for data harvesting in wireless sensor networks (WSNs) improves their longevity at the expense of delay. To avoid considerable delay due to the low speed of the MSs, the previous algorithms have shortened the MS tour. This approach balances data gathering delay against energy consumption. In this paper, we propose the high-performance data harvesting in MS-based WSNs (HPDMS) algorithm taking into account both delay and energy efficiency criteria. The main advantage of our algorithm is that it employs two methods to achieve good performance with acceptable overhead.The first method provides high-throughput solutions at the expense of overhead. The latter one uses the outcome of the first method to configure the WSN with low overhead. Simulation results demonstrate that HPDMS improves energy consumption and network lifetime by 44% and 60% with acceptable overhead compared to the existing approaches.