An Efficient-Energy Data Gathering Method in Wireless Sensor Networks (EEDGM).
Milad Salmani, Farnaz Derakhshan, Mahmoud Parandeh · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING · 2017
In the wireless sensor networks (WSNs), the resource constraints such as limitations on energy, bandwidth, and the range of communications, low storage and weak processing capacity motivate researchers to investigate on solving these problems. Therefore, researchers presented several algorithms on mobile agent-based data gathering methods. Some of important advantages of mobile agent-based data gathering methods are as follows: 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, we propose a new data gathering method that uses multiple mobile agents called Efficient-Energy Data Gathering Method in WSNs (EEDGM). In our new proposal, we combined 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. 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 leads to efficient use of energy and to increase network life time. We implemented EEDGM, the experimental results demonstrate that our method performs better than DIPMA approach, in terms of various metrics such as energy consumption of sensor nodes, total remaining energy and hop count.