NDLI: Minimum latency scheduling for Multi-Regional Query in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Mingyuan Yan Jing He Shouling Ji Yingshu Li
Copyright Year	2011
Description	Author affiliation: Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA (Mingyuan Yan; Jing He; Shouling Ji; Yingshu Li)
Abstract	Query scheduling as one of the most important technologies used in query processing has been widely studied recently. Unfortunately, to the best of our knowledge, no previous work focuses on the Minimum Latency Multi-Regional Query Scheduling (ML-MRQS) problem. In this paper, we investigate the ML-MRQS problem in Wireless Sensor Networks (WSNs), which aims to generate a scheduling plan with minimum latency for a more practical query model called Multi-Regional Query (MRQ). A MRQ targets at user interested data from multiple region-sofa WSN, where each region is a subarea of the WSN. We claim that the ML-MRQS problem is NP-hard. Therefore, we propose a heuristic scheduling algorithm Multi-Regional Query Scheduling Algorithm (MRQSA) to solve this problem. Theoretical analysis shows that the latency of MRQSA is upper bounded by 23A + B + C for a MRQ with m query regions $R_{1},$ $R_{2}...,$ $R_{m},$ where A = $max_{i=1}^{m}$ $D_{i}^{left},$ B = $max_{i=1}^{m}$ $\{(23D_{i}+5Δ+21)k_{i}\},$ C = $Σ_{i=1}^{m}$ $H_{i}+5Δ-m+17,$ m is the number of regions, Δ is the maximum node degree in the WSN, A is the diameter of $R_{i},$ $k_{i}$ is the maximum overlapped degree of sensor nodes in TU, Hi represents the distance of $R_{i}$ with respect to the sink, and $D_{i}^{left}$ is the diameter of the non-overlapped part of $R_{i}.$ Extensive simulations are conducted to verify the performance of our algorithm, which show that MRQSA significantly reduces the query latency when compared with the most recently published multi-query scheduling algorithm.
Starting Page	1
Ending Page	8
File Size	820206
Page Count	8
File Format	PDF
ISBN	9781467300100
ISSN	10972641
e-ISBN	9781467300124
DOI	10.1109/PCCC.2011.6108063
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Optimal scheduling Scheduling algorithm Interference Data communication Schedules Scheduling
Content Type	Text
Resource Type	Article

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