Clustering Based Lifetime Maximizing Aggregation Tree for Wireless Sensor Networks
Energy efficiency is the most important issue in all facets of Wireless Sensor Networks (WSNs) operations because of the limited and non-replenish able energy supply. Data aggregation mechanism is one of the possible solutions to prolong the life time of sensor nodes and on the other hand it also helps in eliminating the data redundancy and improving the accuracy of information gathering, is essential for WSNs. In this paper, the authors propose a Clustering-based Lifetime Maximizing Aggregation Tree (CLMAT), in which they create aggregation tree which aim to reduce energy consumption, minimizing the distance traversed and minimizing the cost in terms of energy consumption. In CLMAT the node having maximum available energy is used as parent node/ aggregator node.