The maximum lifetime problem in wireless sensor network is important to monitor a set of interesting target locations and route the collected information to a central base station. In this paper, first, we consider the method of construction maximum lifetime tree taking into account general type of data aggregation, exchange of control messages and packet transmission loss. Second, we consider the method increasing lifetime of tree and reducing complexity and latency combining optimization of energy consumption in entire network through quasioptimization of local nodes and adapting. Experiment results show that the proposed method is more robust and valid than the previous method.
In this paper the energy balanced and efficient clustering method based on balance of energy consumption of nodes in WSN is proposed, which may be applied to any WSN. The almost static centralized protocol that differs from previous methods is proposed, the main feature of which is that the sinks transmit most of control message and process most of data. First, EBEC method is proposed, which optimizes by considering energy consumption on transmitting and receiving data, energy consumption on the reclustering and hot-spot problem that be optimized individually in previous works. In order to implement this method, VW BAK-C algorithm is used by introducing the concept of variable weighted Euclid distance to k-clustering algorithm. Second, the previous clustering methods are classified into random method and the method based on QoS according to the characteristic of cluster head rotation, and average of total energy consumption of nodes is analyzed mathematically. The proposed method is compared and analyzed. Third, the performance of the proposed method is evaluated by comparing with other clustering methods through simulation.
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