Energy Map Generation in Wireless Sensor Network using Grey System Theory
Rajeev Kumar1, Naveen Chauhan2, Narottam Chand3

1Rajeev Kumar*, M, Tech. CSE, NIT Hamirpur, India.
2Naveen Chauhan, Ph.D, CSE, NIT Hamirpur, India.
3Narottam Chand, Associate Professor, Department of CSE, NIT Hamirpur, India.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3821-3826 | Volume-8 Issue-12, October 2019. | Retrieval Number: L3840081219/2019©BEIESP | DOI: 10.35940/ijitee.L3840.1081219
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Abstract: Wireless sensor nodes are deployed in hostile environment as applications of wireless sensor network. Battery is the source of energy of these sensor nodes. Replacing their batteries is not feasible due to their deployment in hostile area. In the proposed research, main objective is to extend the lifetime of network by predicting the residual energy of sensor nodes. For enhancing the lifetime of the wireless sensor network, it is necessary to keep track of residual energy level. Tracking residual energy status of sensor nodes is helpful in creating the energy map for network. In this paper, an approach to predict the residual energy level and to generate energy map for wireless sensor network is proposed. Proposed algorithm is used with clustering algorithm. Simulation results show that proposed algorithm reduces number of the messages transmitted which intern increases network lifetime.
Keywords: Wireless Sensor Network, Energy map Prediction, Gray System Theory, Network Lifetime.
Scope of the Article: Wireless Sensor Network