Cross-layer throughput Optimization with Power Control in Sensor Networks

Author

Maggie Xiaoyan Cheng, Missouri University of Science and TechnologyFollow
Xuan Gong
Lin Cai
Xiaohua Jia

Abstract

In wireless sensor networks, transmission power has a significant impact on network throughput as wireless interference increases with transmission power, and interference negatively impacts the network throughput. in this paper, we try to improve the network throughput through cross-layer optimization. We first present two algorithms to compute the transmission power of each node with the objectives of minimizing the total transmission power and minimizing the total interference, respectively, from which we can obtain a network topology that ensures a connected path from each source to the sink; then, we compute the maximum achievable throughput from the obtained topology by using joint routing and link rate control. the power control algorithms can generate symmetric links or asymmetric links if so desired. based on different link models, we use different algorithms to compute the maximum achievable throughput. Since computing the maximum throughput is an NP-hard problem, we use efficient heuristics that use a sufficient condition instead of the computationally expensive-to-get optimal condition to capture the mutual conflict relation in a collision domain. the formal proof for the sufficient condition is provided, and the proposed algorithms are compared with previous work. Simulation results show that the proposed algorithms improve the network throughput and reduce the energy consumption, with significant improvement over previous work on both aspects. © 2010 IEEE.

Recommended Citation

M. X. Cheng et al., "Cross-layer throughput Optimization with Power Control in Sensor Networks," IEEE Transactions on Vehicular Technology, vol. 60, no. 7, pp. 3300 - 3308, article no. 5934625, Institute of Electrical and Electronics Engineers, Sep 2011.

The definitive version is available at https://doi.org/10.1109/TVT.2011.2160883

Department(s)

Computer Science

Comments

National Science Foundation, Grant CNS-0841388

Keywords and Phrases

Clique; cross-layer design; interference; linear programming; optimization; power control; sensor network; throughput; topology control

International Standard Serial Number (ISSN)

0018-9545

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Sep 2011