Research Article
Cross-layer design for energy efficient communication in wireless sensor networks
Article first published online: 28 FEB 2008
DOI: 10.1002/wcm.608
Copyright © 2008 John Wiley & Sons, Ltd.
Additional Information
How to Cite
Lin, X.-H., Kwok, Y.-K. and Wang, H. (2009), Cross-layer design for energy efficient communication in wireless sensor networks. Wireless Communications and Mobile Computing, 9: 251–268. doi: 10.1002/wcm.608
Publication History
- Issue published online: 29 DEC 2008
- Article first published online: 28 FEB 2008
Funded by
- Natural Science Foundation of China. Grant Numbers: 60602066, 60773203
- Guangdong Natural Science Foundation. Grant Number: 5010494
- Foundation of Shenzhen City. Grant Number: QK200601
- Abstract
- References
- Cited By
Keywords:
- wireless sensor networks;
- cross-layer design;
- buffering;
- discrete-time queuing;
- Rayleigh fading;
- link adaptation
Abstract
There is a plethora of recent research on high performance wireless communications using a cross-layer approach in that adaptive modulation and coding (AMC) schemes at wireless physical layer are used for combating time varying channel fading and enhance link throughput. However, in a wireless sensor network, transmitting packets over deep fading channel can incur excessive energy consumption due to the usage of stronger forwarding error code (FEC) or more robust modulation mode. To avoid such energy inefficient transmission, a straightforward approach is to temporarily buffer packets when the channel is in deep fading, until the channel quality recovers. Unfortunately, packet buffering may lead to communication latency and buffer overflow, which, in turn, can result in severe degradation in communication performance. Specifically, to improve the buffering approach, we need to address two challenging issues: (1) how long should we buffer the packets? and (2) how to choose the optimum channel transmission threshold above which to transmit the buffered packets? In this paper, by using discrete-time queuing model, we analyze the effects of Rayleigh fading over AMC-based communications in a wireless sensor network. We then analytically derive the packet delivery rate and average delay. Guided by these numerical results, we can determine the most energy-efficient operation modes under different transmission environments. Extensive simulation results have validated the analytical results, and indicates that under these modes, we can achieve as much as 40% reduction in energy dissipation. Copyright © 2008 John Wiley & Sons, Ltd.

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