PEN Academic Publishing   |  ISSN: 1308 - 9501

Original article | International Journal of Educational Researchers 2017, Vol. 8(1) 19-25

WSN Using Collective Scheme of Energy Efficient Grouping and Evidence Retrieval

S. P. Santhoshkumar, M. Praveenkumar & S. Chandramohan

pp. 19 - 25   |  Manu. Number: ijers.2017.003

Published online: October 04, 2017  |   Number of Views: 87  |  Number of Download: 170


Abstract

The two-layer network structure has been widely adopted in wireless sensor networks (WSNs) for managing sensor nodes. In such a structure, the low layer nodes communicate with their cluster head, followed by the cluster-head nodes communicating with the base station operating in either a one hop or a multi-hop manner. The main focus of node-clustering algorithms is minimizing energy consumption due to strictly limited resources in WSNs. Also, WSNs are data intensive networks with the capability of providing users with accurate data. Unfortunately, data missing is common in WSNs. In this paper, we propose a novel joint design of sensor nodes clustering and data recovery, where the WSNs is organized in a two-layer manner with our developed clustering algorithm, and then the missing data is recovered based on this two-layer structure. Furthermore, in the proposed clustering algorithm, we take both the energy-efficiency and data forecasting accuracy into consideration and investigate the tradeoff between them. This is based on the key observation that the high energy-efficiency of the network can be achieved by reducing the distances among the nodes in a cluster, while the accuracy of the forecasting results can be improved by increasing the correlation of the data stream among the nodes in a cluster. Simulation results demonstrate that our joint design outperforms the existing algorithms in terms of energy consumption and forecasting accuracy.

Keywords: Wireless sensor networks, energy efficiency, node clustering, data forecasting


How to Cite this Article?

APA 6th edition
Santhoshkumar, S.P., Praveenkumar, M. & Chandramohan , S. (2017). WSN Using Collective Scheme of Energy Efficient Grouping and Evidence Retrieval. International Journal of Educational Researchers , 8(1), 19-25.

Harvard
Santhoshkumar, S., Praveenkumar, M. and Chandramohan , S. (2017). WSN Using Collective Scheme of Energy Efficient Grouping and Evidence Retrieval. International Journal of Educational Researchers , 8(1), pp. 19-25.

Chicago 16th edition
Santhoshkumar, S. P., M. Praveenkumar and S. Chandramohan (2017). "WSN Using Collective Scheme of Energy Efficient Grouping and Evidence Retrieval". International Journal of Educational Researchers 8 (1):19-25.

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