<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Traditional data gathering approaches cannot be applied to Mobile Sensor Network (MSN) due to sparse network density and sensor node mobility. In this paper, we propose a utility based data gathering protocol (UDG). The distance utility is used to indicate the closeness between sensor nodes and the sink node, and the activity utility is used to evaluate the ability of sensor nodes acting as relays. UDG combines the distance utility with the activity utility to make routing decisions. It also presents a buffer management scheme based on the utility. Experimental results show that UDG achieves desirable performance with low delivery overhead.</p>
</abstract>

Traditional data gathering approaches cannot be applied to Mobile Sensor Network (MSN) due to sparse network density and sensor node mobility. In this paper, we propose a utility based data gathering protocol (UDG). The distance utility is used to indicate the closeness between sensor nodes and the sink node, and the activity utility is used to evaluate the ability of sensor nodes acting as relays. UDG combines the distance utility with the activity utility to make routing decisions. It also presents a buffer management scheme based on the utility. Experimental results show that UDG achieves desirable performance with low delivery overhead.

Utility Based Data Gathering in Mobile Sensor Network

University of Electronic Science and Technology of China Chengdu

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Utility Based Data Gathering in Mobile Sensor Network"}

Traditional data gathering approaches cannot be applied to Mobile Sensor Network (MSN) due to sparse network density and sensor node mobility. In this paper,...

Utility Based Data Gathering in Mobile Sensor Network

Published Online: Jun 05, 2013

Page range: 953 - 972

Received: Oct 09, 2012

Accepted: May 10, 2013

DOI: https://doi.org/10.21307/ijssis-2017-574

© 2013 Liu Jieyan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.