An Energy-Efficient Access Control Algorithm with Cross-Layer Optimization in Wireless Sensor Networks

Zhi Chen, Shaoqian Li

.

DOI: 10.4236/wsn.2010.22022                

Abstract

This paper presents a wireless sensor network (WSN) access control algorithm designed to minimize WSN node energy consumption. Based on slotted ALOHA protocol, this algorithm incorporates the power control of physical layer, the transmitting probability of medium access control (MAC) layer, and the automatic repeat request (ARQ) of link layer. In this algorithm, a cross-layer optimization is preformed to minimizing the energy consuming per bit. Through theory deducing, the transmitting probability and transmitting power level is determined, and the relationship between energy consuming per bit and throughput per node is provided. Analytical results show that the cross-layer algorithm results in a significant energy savings relative to layered design subject to the same throughput per node, and the energy saving is extraordinary in the low throughput region.

Keywords

Wireless Sensor Network (WSN), Cross-Layer Design, Energy Efficient, Energy Consumption per Bit, Throughput

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	K. Romer and F. Mattern, “The design space of wireless sensor networks,” IEEE Wireless Communications, Vol. 11, No. 6, pp. 54–61, 2004.
[2]	J. N. Al-Karaki, and A. E. Kamal, “Routing techniques in wireless sensor networks: A survey,” IEEE Wireless Communications, Vol. 11, No. 6, pp. 6–28, 2004.
[3]	Y. E. Sagduyu and A. Ephremides, “The problem of medium access control in wireless sensor networks,” IEEE Wireless Communications, Vol. 11, No. 6, pp. 44– 53, 2004.
[4]	W. Ye, J. Heidemann, and D. Estrin, “Medium access control with coordinated adaptive sleeping for wireless sensor networks,” IEEE/ACM Transactions Networking, Vol. 12, No. 3, pp. 493–506, 2004.
[5]	S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-constrained modulation optimization,” IEEE Transactions Wireless Communications, Vol. 4, No. 5, pp. 2349–2360, 2005.
[6]	S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,” IEEE Journal on Selected Areas in Communi- cations, Vol. 22, No. 6, pp. 1089–1098, 2004.
[7]	J. Goldsmith and S. B. Wicker, “Design challenges for energy constrained ad hoc wireless networks,” IEEE Wireless Communications, Vol. 9, No. 4, pp. 8–27, 2002.
[8]	M. De Sanctis, E. Cianca, and M. Ruggieri, “Energy efficient transmit power control for HDR WPAN,” in Proceeding’06 17th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC’06, pp. 1–5, 2006.
[9]	Howitt and J. Wang, “Energy efficient power control policies for the low rate WPAN,” in Proceeding’04 IEEE Conference on Sensor and Ad Hoc Communications and Networks, SECON’04, pp. 527–536, 2004.
[10]	G. M. Geoffrey, A. H. Jennifer, and J. D. Robert, “A sensor network cross-layer power control algorithm that incorporates multiple-access interference,” IEEE Transa- ctions on Wireless Communications, Vol. 7, No. 8, pp. 2877–2883, 2008.
[11]	L. Tong, Q. Zhao, and G. Mergen, “Multi packet reception in random access wireless networks: from signal processing to optimal medium access control [J],” IEEE Communications Magazine, Vol. 39, No. 11, pp. 108–12, 2001.
[12]	V. Naware and L. Tong, “Cross layer design for multia- ccess communication over rayleigh fading channels,” IEEE Transactions on Wireless Communications, Vol. 7, No. 3, pp. 1095–103, 2008.