Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)

Power Layer Energy Efficient Routing Protocol in Wireless Sensor Network (PLRP)

Sardjoeni Moedjiono (Budi Luhur University, Jalan Raya Ciledug Petukangan Utara, Jakarta Selatan, Indonesia) and Aries Kusdaryono (Budi Luhur University, Jalan Raya Ciledug Petukangan Utara, Jakarta Selatan, Indonesia)
DOI: 10.4018/jmcmc.2013010105
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Abstract

Preserving energy of sensor node in wireless sensor network is an effort to prolong the lifetime of network. Energy of sensor node is very crucial because battery powered and irreplaceable. Energy conservation of sensor node is an effort to reduce energy consumption in order to preserve resource for network lifetime. It can be achieved through efficient energy usage by reducing consumption of energy or decrease energy usage while achieving a similar outcome. In this paper, the authors propose power layer energy efficient routing protocol in wireless sensor network, named PLRP, which use power control and multi-hop routing protocol to control overhead of sensor node and create clustering to distribute energy dissipation and increase energy efficiency of all sensor node. The main idea of PLRP is the use of power control, which divide sensor node into group by base station uses layer of energy and maximize the computation energy in base station to reduce computational energy in sensor node for conservation of network lifetime. The performance of PLRP compared to BCDCP and BIDRP based of hierarchical routing protocol. The simulation results show that PLRP achieve 25% and 30% of improvement on network lifetime.
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In recent years, clustering for ad hoc and wireless sensor network have been a popular area of research and several algorithms have been proposed (Akyildiz et al., 2002; Al-Karaki, et al. 2004). These techniques can be classified in a number of ways such as clustering method (distributed, centralized), network architecture (single-hop, multi-hop), clustering objective (energy efficiency, coverage) or cluster head selection method (random, deterministic).

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