International Journal of Computer Science and Technology

ISSN 2996-8223

International Journal of Computer Science and Technology | Vol. 7, No. 2, February 2005 | pp. 9–16

DOI: 10.46882/2005/IJCST/070205

Research Article

Title: Cross-Layer Power Control Optimization for Energy-Efficient Wireless Sensor Networks

Names of Authors: Khalid Al-Mansoor¹, Emily Watson²

Authors’ Affiliations: ¹Department of Computer Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia; ²Department of Computer Science, Stanford University, California, USA

Abstract:
Maximizing operational lifetime in battery-powered wireless sensor networks (WSNs) requires careful energy conservation strategies across multiple protocol layers. This paper establishes an adaptive cross-layer power control protocol (CPCP) that matches transmission power modifications at the Physical (PHY) layer with medium access control slot updates at the Data Link layer. The mathematical model relies on a stochastic game-theoretic design to converge toward Nash equilibrium states regarding energy consumption and packet delivery ratios. Network simulations consisting of 200 sensor nodes distributed randomly across a 500m x 500m area show that CPCP extends the average functional network lifetime by 34.2% compared to standard duty-cycle protocols like S-MAC. The total packet drop rate caused by spatial interference fell by 22.5%, while the mean power consumption per node stabilized at a nominal value of P = 14.8 μW. These improvements were achieved without increasing end-to-end multi-hop propagation latency benchmarks.

Keywords: Wireless Sensor Networks, Cross-Layer Design, Power Control, Game Theory, Energy Efficiency

Manuscript Timeline: Received November 02, 2004; Revised December 14, 2004; Accepted January 10, 2005; Published February 24, 2005

Citation: Al-Mansoor, K., & Watson, E. (2005). Cross-Layer Power Control Optimization for Energy-Efficient Wireless Sensor Networks. International Journal of Computer Science and Technology, 7(2), 9–16.