Author(s)

Perumal Kalyanasundaram¹, Thangavel Gnanasekaran²

¹Department of Electronics and Communication Engineering, Nandha Engineering College, Erode, India.
²Department of Information Technology, RMK Engineering College, Chennai, India.

In Wireless Sensor Networks (WSN), the lifetime of sensors is the crucial issue. Numerous schemes are proposed to augment the life time of sensors based on the wide range of parameters. In majority of the cases, the center of attraction will be the nodes’ lifetime enhancement and routing. In the scenario of cluster based WSN, multi-hop mode of communication reduces the communication cast by increasing average delay and also increases the routing overhead. In this proposed scheme, two ideas are introduced to overcome the delay and routing overhead. To achieve the higher degree in the lifetime of the nodes, the residual energy (remaining energy) of the nodes for multi-hop node choice is taken into consideration first. Then the modification in the routing protocol is evolved (Multi-Hop Dynamic Path-Selection Algorithm—MHDP). A dynamic path updating is initiated in frequent interval based on nodes residual energy to avoid the data loss due to path extrication and also to avoid the early dying of nodes due to elevation of data forwarding. The proposed method improves network’s lifetime significantly. The diminution in the average delay and increment in the lifetime of network are also accomplished. The MHDP offers 50% delay lesser than clustering. The average residual energy is 20% higher than clustering and 10% higher than multi-hop clustering. The proposed method improves network lifetime by 40% than clustering and 30% than multi-hop clustering which is considerably much better than the preceding methods.

Wireless Sensor Networks (WSN), Cluster Based WSN, Multi-Hop Mode, Residual Energy, Average Delay, Multi-Hop Dynamic Path-Selection Algorithm, Life Time

Kalyanasundaram, P. and Gnanasekaran, T. (2016) A Multi-Hop Dynamic Path-Selection (MHDP) Algorithm for the Augmented Lifetime of Wireless Sensor Networks. Circuits and Systems, 7, 3343-3353. doi: 10.4236/cs.2016.710285.