Abstract: Wireless Sensor Networks (WSNs) using mobile sink along a fixed trajectory is proved to be efficient in terms of data collection. Most of the existing algorithms using mobile sink have not considered the lifetime of sensor nodes near the mobile sinks trajectory that participate in data relay on behalf of other nodes. This results in fast depletion of battery power of these nodes which ends up in network partitioning, thereby result in network instability. To overcome this situation, a novel clustering algorithm is proposed which segregates the nodes into zones along the trajectory of the mobile sink and schedules the sleep-wake period of the nodes such that the life of the nodes close to the trajectory is increased 48.3% compared to the standard algorithm. An Adaptive Time Synchronization (ATS) algorithm is also developed for effective data transfer among clusters. The proposed techniques are validated through simulation and real time experiments using TinyOS environment.
K. Arthi and P. Vanaja Ranjan, 2013. Energy Efficient Clustering Algorithm for Throughput Maximization using Mobile Sink for Wireless Sensor Networks. Asian Journal of Information Technology, 12: 360-368.