Publications

Abstract : Wireless sensor networks (WSNs) have been broadly functional in different practical applications that require gathering an enormous amount of heterogeneous sensorial data. However, majority of the data-collecting methods in WSNs cannot remove the hotspot problem in the whole network. This affects the network connectivity and diminishes the network lifetime. Additionally, timely delivery of sensory data is another significant factor in WSNs. In order to address these challenges, an effective Energy Efficiency by Mobile sink Based Data-Gathering for Heterogeneous WSNs (EEMD) algorithm is proposed. In this algorithm, advanced nodes (AN) are introduced which limit the route length of Mobile Sink so the delay time of data delivery to Base Station is greatly reduced. Hence, the Mobile Sink reduces the multipath communication and energy consumption of Cluster Heads. The EEMD approach is experimentally tested with both quantitative and qualitative evaluations to verify its efficacy. The Simulation results shows that EEMD approach is superior to the state-of-the-art methods with reduced delay time and improved network lifetime.