An Efficient-Energy Data Gathering Method in Wireless Sensor Networks (EEDGM)

Abstract

In wireless sensor networks (WSNs), resource constraints such as limitations on energy, bandwidth, range of communications, low storage and weak processing capacity motivate researchers to investigate on solving these problems. Therefore, several algorithms have been presented on mobile agent-based data gathering methods. Some important advantages of mobile agent-based data gathering methods are: significant reduction in bandwidth usage by locally data gathering at each node, fault-tolerance and stable behavior in confronting with node or connection failure in networks, and having application-oriented and user-centric processing code. In this paper, a new data gathering method that uses multiple mobile agents called Energy- Efficient Data Gathering Method in WSNs (EEDGM) has been proposed. Two existing approaches for data dissemination task which take the advantages of them and can provide energy and bandwidth efficiency and prolong network life time in wireless sensor networks are combined. EEDGM benefits from a clustering and a routing algorithm (to determine optimal set of cluster heads and optimal routes from cluster heads to sink nodes). Next, this new technique uses the idea of vector which leads to efficient usage of energy and increasing network life time. After implementing EEDGM, the experimental results demonstrate that the method performs better than DIPMA approach, in terms of various metrics such as energy consumption of sensor nodes, total remaining energy and hop count.