Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9270
Title: An analysis on the delay-aware data collection network structure using pareto optimality
Authors: Cheng, CT 
Tse, CK 
Keywords: Data Collection Process
Delay
Pareto Optimality
Wireless Sensor Networks
Issue Date: 2012
Source: Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012, 2012, 6384992, p. 348-352 How to cite?
Abstract: Clustering techniques are effective techniques in reducing energy consumption in wireless sensor networks (WSNs). A data collection process (DCP) is an operation for a base station (BS) to collect a complete set of data from a WSN. Clustering techniques may, however, introduce bottlenecks to a DCP and cause extra delays. For time-sensitive applications, a delay-aware network structure is necessary. A delay-aware network structure should not only minimize the duration of a single DCP, but also shorten the duration of consecutive DCPs. Furthermore, for better sensing quality, a delay-aware network structure should try to accommodate as many wireless sensor nodes as possible. This paper investigates the trade-offs among the above objective functions in a delay-aware data collection network structure using the concepts of Pareto optimality. The analyses provide an insight into selecting the most suitable network parameters.
Description: 4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012, Sanya, 10-12 October 2012
URI: http://hdl.handle.net/10397/9270
ISBN: 9780769548104
DOI: 10.1109/CyberC.2012.65
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