Power Aware Routing Protocol (PARP) to Reduce Energy Consumption in Wireless Sensor Networks
M Lingaraj1, A Prakash2

1M Lingaraj, Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, (Tamil Nadu), India.
2A Prakash, Department of Computer Science, Hindusthan College of Arts & Science, Coimbatore, (Tamil Nadu), India.

Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 380-385 | Volume-7 Issue-6, March 2019 | Retrieval Number: E1969017519©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In Wireless Sensor Network (WSN), energy consumption is a big challenge. The energy is mostly wasted by huge number of nodes even they are inactive. WSN is a collection of different technologies like embedded, processing, and communication technology. The use of WSN gets widened in the fields of health care, traffic management, monitoring of environment, and management during disaster. The main intention of research aims to analyze the WSN and propose a power aware routing protocol (PARP) to reduce consumption of energy by the wireless node in congestion. The proposed routing protocol works by constructing a multicast tree to send message to the destination with less effort and energy. In order to control multicast delivery system, this work selects the node nearest WSN node for the perfect position to the forwarding node for preserving the energy between two neighboring goals that is placed in multicast tree. This research work uses the Network Simulator version 2 (NS2) for evaluation purpose and the performance metrics as throughput, packet delivery ratio, energy consumption, and delay. The result indicate that PARP achieves its objectives in a efficient when compared with other approaches namely DACR (Distributed Adaptive Cooperative Routing) protocol and REER (Reliable Energy Efficient Routing) protocol.
Keywords: Energy, Load Balancing, Sensor, Routing, Wireless.
Scope of the Article: RF Energy Harvesting