Abstract
Wireless sensor network is growing rapidly in recent era. The scalability and mobility impose remarkable challenges and degrade overall lifetime of network. The versatile topology with evolving parameters such as location and coverage needs to be modified for extensively dynamic network. The flat sensor network degrades the network’s total lifespan, because it absorbs a lot of resources. Clustering with one-hop distance in sensor network is the best way to elongate network lifespan. Clustering along with adaptive sleep scheduling using reinforcement algorithm produces better results by eliminating the issue of idle listening. The proposed mobility-aware clustering routing algorithm (MACRON) along with self-healing scheduling for extensively dynamic network to handle network communication with one-hop distance and probability distribution function will give better results as compared to RI-MAC, A-TDMA, AODV and MEMAC. The experimental analysis shows that MACRON gives better results in terms of throughput, delay, packet delivery, hop and mean deviation.
