NDLI: Optimal Sampling Rate Assignment with Dynamic Route Selection for Real-Time Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Weihuan Shu Xue Liu Zonghua Gu Gopalakrishnan, S.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC (Gopalakrishnan, S.) \|\| Sch. of Comput. Sci., McGill Univ., Montreal, QC (Weihuan Shu; Xue Liu) \|\| Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Hong Kong (Zonghua Gu)
Abstract	The allocation of computation and communication resources in a manner that optimizes aggregate system performance is a crucial aspect of system management. Wireless sensor network poses new challenges due to the resource constraints and real-time requirements. Existing work has dealt with the real-time sampling rate assignment problem, under single processor case and network case with static routing environment. For wireless sensor networks, in order to achieve better overall network performance, routing should be considered together with the rate assignments of individual flows. In this paper, we address the problem of optimizing sampling rates with dynamic route selection for wireless sensor networks. We model the problem as a constrained optimization problem and solve it under the network utility maximization framework. Based on the primal-dual method and dual decomposition technique, we design a distributed algorithm that achieves the optimal global network utility considering both dynamic route decision and rate assignment. Extensive simulations have been conducted to demonstrate the efficiency and efficacy of our proposed solutions.
Starting Page	431
Ending Page	441
File Size	342528
Page Count	11
File Format	PDF
ISBN	9780769534770
ISSN	10528725
DOI	10.1109/RTSS.2008.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-30
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Wireless sensor networks Resource management Routing Utility programs Aggregates System performance Constraint optimization Algorithm design and analysis Distributed algorithms Wireless Sensor Network Network Utility Maximization Resource Allocation Dynamic Routing Real-Time Routing
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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