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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9079

Title: An improved energy efficient approach for wsn based tracking applications
Authors: Alhmiedat, Tareq Ali
Yang, Shuang-Hua
Keywords: Tracking
Localization
ZigBee network
Data aggregation
Prediction
Issue Date: 2011
Publisher: © International Association for Development of the Information Society (IADIS)
Citation: ALHMIEDAT, T.A. and YANG, S., 2011. An improved energy efficient approach for wsn based tracking applications. IADIS International Conference: Wireless Applications and Computing 2011, Rome, Italy, 20 - 22 July 2011.
Abstract: Tracking systems using a high number of low cost sensor nodes have been proposed for use in diverse applications including civil, military, and wildlife monitoring applications. In tracking applications, each sensor node attempts to send the target's location information to a sink node. Deploying a tracking system with a high number of sensor nodes results in the following limitations: high packet dropping rate, high congestion, transmission delay, and high power-consumption. Data aggregation schemes can reduce the number of messages transmitted over the network, while prediction schemes can decrease the number of activated beacon nodes in the tracking process. Consequently, data aggregation and prediction approaches can reduce the energy consumed during the tracking process. In this paper, we propose and implement an energy efficient approach for WSN-based tracking applications by integrating both a novel data aggregation method with a simple prediction approach. Three metrics are utilized for the evaluation purposes: total number of messages transmitted in the network, overall power-consumption, and the quality of the tracking accuracy. The proposed system is simulated using the NS2 simulation environment.
Description: This paper was presented at the IADIS International Conference Wireless Applications and Computing 2011, 20- 22 July, Rome, Italy: http://www.wac-conf.org/
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/9079
Publisher Link: http://www.wac-conf.org/
Appears in Collections:Conference Papers (Computer Science)

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