Mobility and Heterogeneity Aware Cluster-Based Data Aggregation for Wireless Sensor Network

摘要: Internet of things is the modern era, which offers a variety novel applications for mobile targets and opens new domains distributed data aggregations using wireless sensor networks. However, low cost tiny sensors used network formation generate large amount redundant sensing hence, results in energy bandwidth constraints. In this context, paper proposes sink mobility nodes heterogeneity aware cluster-based aggregation algorithm (MHCDA) efficient utilization an increase lifetime. The proposed uses predefined region packets at cluster head minimizing computation communication cost. MHCDA exploits correlation generated by with variable packet generation rate to reduce consumption 8.66 %. Also, it prolongs life 23.53 % as compared without state the-art solutions.