ECDGA: An energy-efficient cluster-based data gathering algorithm for Mobile Wireless Sensor Networks

摘要

In this paper, a cluster-based data gathering algorithm ECDGA for mobile wireless sensor networks is proposed. Network model includes mobile nodes and fixed nodes. The former constructs cluster by self-organizing according to the distance between the fixed nodes nearby and themselves. The latter selects cluster head in accordance with the residual energy and location of the mobile nodes around, and bears the task of inter-cluster data transmitting. Cluster head is responsible for data collection and data fusion. The experimental results show that ECDGA algorithm has a good performance in the network lifetime and reliability.