Wireless sensor networks (WSN) are one of the critical technologies because of their assorted applications such as medical services observing, PDAs, military, fiasco the board, and other reconnaissance frameworks. Sensor hubs are generally conveyed in enormous number that works freely in unattended brutal conditions. Because of imperative assets, ordinarily the scant battery power, these wireless hubs are gathered into clusters for energy effective correspondence. In clustering hierarchical schemes achieved extraordinary interest for limiting energy utilization. Hierarchical schemes are generally requested as cluster-based and network based methodologies. In this paper proposed Tabu Search Energy Optimization based Minimum Spanning Tree Routing (TSEO-MSTR) data aggregation for low weighted delay and high network lifecycle. The simulation experiments show that, the proposed data aggregation method consumes less energy while aggregating data from sensor nodes, and thus can prolong the network lifecycle.
Wireless sensor networks, Tabu Search Energy Optimization, Minimum Spanning Tree Routing, data aggregation.
Vimalathithan A , Dr. A. Suresh "Data Aggregation Using Tabu Search Energy Optimization Based Minimum Spanning Tree Routing (TSEO-MSTR)" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 372-381
Vimalathithan A , Dr. A. Suresh "Data Aggregation Using Tabu Search Energy Optimization Based Minimum Spanning Tree Routing (TSEO-MSTR)" Iconic Research And Engineering Journals, 6(1)