The Study on Communication Energy Saving Algorithm of Wireless Sensor Network

Abstract:

Wireless transceiver’s energy consumption takes a high proportion of sensors’ whole energy consumption. Saving wireless transceiver’s energy consumption is significant because of limited energy of wireless sensor network nodes. This paper is based on the model of wireless transceiver’s energy consumption which works in a long distance. Predicted on proving real-time character, this paper poses a long distance low energy consumption scheduling algorithm which adopts dynamic modulation scaling technology combined heuristic algorithm. First, dispatching the modulation level off-line, allocating task and solidifying dispatch result into dispatcher manager. Then, according to the practical transmission time during transmission, adjust the modulation levels again. The simulation experiment proves the algorithm’s effective.

• Periodical: Key Engineering Materials (Volume 500)
• Pages: 556-561
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.500.556
• Online since: January 2012
• Authors: Wen Xiang Zhang, Yan Dong Ru, Yin Hua Ma, Ji Kun Guo
• Keywords: Dynamic Modulation Scaling, Energy Saving Communication, Wireless Sensor Network (WSN)

References

[1] AGRE J，CLARE L. An Integrated Architecture for Cooperative Sensing Networks[J]. IEEE Computer Magazine. 2000, 33(5): 106-108.

DOI: 10.1109/2.841788

[2] Ingelrest F, Simplot-Ryl D, Stojmenovic I. Optimal Transmission Radius for Energy Efficient Broadcasting Protocols in Ad Hoc and Sensor Networks[J], IEEE Transactions on Parallel and Distributed Systems. June 2006, 17(6): 536-547.

DOI: 10.1109/tpds.2006.74

[3] Song Ci, Sharif H, Nuli K. Study of an Adaptive Frame Size Predictor to Enhance Energy Conservation in Wireless Sensor Networks[J]. IEEE Journal on Selected Areas in Communications. Feb 2005, 23(2): 283-292.

DOI: 10.1109/jsac.2004.839400

[4] Tsung-Hsien Lin, Kaiser W J, Pottie G J. Integrated Low-Power Communication System Design for Wireless Sensor Networks[J]. IEEE Communications Magazine. Dec 2004, 42(12): 142-150.

DOI: 10.1109/mcom.2004.1367566

[5] Schurgers C, Aberthorne O, Srivastava MB. Modulation Scaling for Energy Aware Communication Systems[J]. International Symposium on Low Power Electronics and Design. 2001(01): 96-99.

DOI: 10.1145/383082.383103

[6] Jeffay K, Stanat D. F, Martel CU. On Non-preemptive Scheduling of Periodic and Sporadic Tasks. Proc. of IEEE Real-Time Systems Symposium. 1991: 129-139.

DOI: 10.1109/real.1991.160366

[7] Sehurgers C, Raghunathan V, Srivastava MB. Power management for energy aware communication systems[J]. ACM Transactions on Embedded Computing Systems. 2003, 2(3): 431-447.

DOI: 10.1145/860176.860184

[8] Cho K, Samueli H. A 8. 75-MBaud single-chip digital QAM modulator with frequency agility and beam forming diversity. In Proc. of CICC'00. 2000: 27-30.

DOI: 10.1109/cicc.2000.852611

[9] Raghunathan V, Schurgers C, Park S, Srivastava MB. Energy Aware Wireless Microsensor Networks[J], IEEE Signal Processing. March 2002, 19(2): 40-50.

DOI: 10.1109/79.985679