NDLI: Capacity of dual-radio multi-channel wireless sensor networks for continuous data collection

Content Provider	IEEE Xplore Digital Library
Author	Shouling Ji Yingshu Li Xiaohua Jia
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong (Xiaohua Jia) \|\| Department of Computer Science, Georgia State University, Atlanta, 30303, USA (Shouling Ji; Yingshu Li)
Abstract	Data collection is an important operation of wireless sensor networks (WSNs). The performance of data collection can be measured by its achievable network capacity. Most existing works focus on the capacity of unicast, multicast or snapshot data collection in single-radio single-channel wireless networks, and no dedicated works consider the continuous data collection capacity for WSNs in detail under the protocol interference model. In this paper, we first propose a multi-path scheduling algorithm for the snapshot data collection in single-radio multi-channel WSNs and prove that its achievable network capacity is at least equation, which is a tighter lower bound compared with the previously best result in [5] which is W over $8ρ^{2},$ where W is the bandwidth over a channel, H is the number of the available orthogonal channels, ρ is the ratio of the interference radius over the transmission radius of a sensor and o(ρ) is a linear equation of ρ. For the continuous data collection problem, although the authors in [5] claim that data collection can be pipelined with existing works, we find that such an idea cannot actually improve network capacity. We explain the reason for this and propose a novel continuous data collection method for dual-radio multi-channel WSNs. This method significantly speeds up the data collection process, and achieves a capacity of equation when Δe ≤ 12, or equation when Δe > 12, where n is the number of sensors, M is a constant value and usually M ≪ n, and Δe is the maximum number of leaf nodes having a same parent node in the routing tree (i.e. data collection tree). The simulation results also indicate that the proposed algorithms significantly improve network capacity compared with the existing works.
Starting Page	1062
Ending Page	1070
File Size	1043612
Page Count	9
File Format	PDF
ISBN	9781424499199
ISSN	0743166X
e-ISBN	9781424499212
DOI	10.1109/INFCOM.2011.5934880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Wireless sensor networks
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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