NDLI: Cross-layer optimization for wireless sensor network with multi-packet reception

Content Provider	IEEE Xplore Digital Library
Author	Lei Shi Jiang-Hong Han Yi Shi Zhen-Chun Wei
Copyright Year	2010
Description	Author affiliation: Dept. of ECE, Virginia Polytechnic Institute and State University, Blacksburg, 24061, USA (Yi Shi) \|\| School of Computer & Information, Hefei University of Technology, Anhui 230009, China (Lei Shi; Jiang-Hong Han; Zhen-Chun Wei)
Abstract	In this paper, we consider how to exploit multi-packet reception (MPR) to increase the capacity for a wireless sensor network. Since MPR behavior at the physical layer affects link layer scheduling, it is necessary to follow a cross-layer approach to obtain an optimal solution. Due to the complexity of cross-layer optimization, although MPR has great potential to increase capacity, optimal solutions are yet to be developed. We build constraints for the signal-to-noise-ratio requirement under MPR at the physical layer such that we can check the feasibility for a set of concurrent transmissions. We further develop an upper bound for the number of concurrent transmissions, which enables us to identify all feasible sets of concurrent transmissions in polynomial time. Then a capacity problem can be formulated as a linear program (LP) but with a large number of variables. We propose a concept of maximum feasible set to decrease the size of LP. Finally, by comparing optimal solutions with and without MPR, we show that network capacity can be increased about 100% by using MPR.
Starting Page	1
Ending Page	5
File Size	365143
Page Count	5
File Format	PDF
e-ISBN	9780984589333
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Wireless sensor networks Base stations Interference wireless sensor network cross-layer optimization Multi-packet reception Physical layer Polynomials Complexity theory Signal to noise ratio successive interference cancellation capacity
Content Type	Text
Resource Type	Article

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