Design and Development of COA-Leach: A well-organized Energy Hypothesize Constructed on Energy Price Demonstrating in Wireless Sensor Network
Keywords:Wireless sensor network, node deployment, Poisson distribution, energy model, data aggregation, lifetime of sensor nodes
Wireless Sensor Network (WSN) consists of huge collection of small, battery-powered sensor nodes. Advancements in the WSN give a new scope and dimension for implementing WSN in real-time applications. WSN is inexpensively implemented in the desired area to monitor space, things, and the interaction between the things and encompassing space such as surveillance, intelligent alarm, pipeline and location monitoring, natural disaster monitoring, etc. For processing, transmission and aggregation of data for the aforementioned monitoring functions, nodes consume more energy. This becomes a daunting challenge for WSN, since WSNs are limited with the limited power, processing time and storage capacity. In order to overcome resource constraints, authors of this article proposed a new comprehensive energy postulate that depends on the energy cost modeling named Cyclic Optimized Approach–LEACH (COA-LEACH). The model is constructed through thorough examinations of energy spend in a working WSN for deployment. The decision made in the deployment of nodes explicitly affects the sensing quality as well as the energy consumption of the entire network. Authors mainly focused on the self-rearrange for identification of the neighbor, which is useful for the energy conservation. The proposed generalized model is validated by experimented through spotting toxic gas and also authors in sighted the energy requirement for both the existing and proposed energy model.
Ramanathan R, and Rosales-Hain R, “Topology control of multihop wireless networks using transmit power adjustment,” in the proceedings of Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 404-413, 2000.
Mainwaring, A., Culler, D., Polastre, J., Szewczyk, R., and Anderson, J., “Wireless sensor networks for habitat monitoring,” in the proceedings of ACM international workshop on wireless sensor networks and applications, pp. 88–97, 2002
Amer Filipovic, and Amitava Datta, “Building Blocks of Energy and Cost Efficient Wireless Sensor Networks,” in the Lecture Notes in Computer Science, vol. 2920, pp. 218-233, 2004
Jae Young Choi, Hyung Seok Kim, IIjoo Baek, Wook Hyun Kwon, “Cell based energy density aware routing: a new protocol for improving the lifetime of wireless sensor networks,” in the lournal of Computer Communications , vol. 28, issue 11, pp. 1293-1302, July 2005.
Yi Hu, Nuo Yu, and Xiaohua Jia, “Energy efficient real-time data aggregation in wireless sensor networks,” in the proceedings of international conference on Wireless Communications and mobile computing, pp.803-808, 2006.
How to Cite
Copyright (c) 2017 The Research Publication
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.