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Traffic load analysis and its application to enhancing longevity on IEEE 802.15.4/ZigBee Sensor Network

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Abstract

Power consumption is an interesting challenge to prolong the operational lifetime on IEEE 802.15/ZigBee Sensor Network (ZSN). ZigBee routers closer to the ZigBee coordinator (ZC) have a larger forwarding traffic burden and consume more energy than devices further away from the ZC. The whole operational lifetime of ZSN is deteriorated because of such an uneven node power consumption patterns, leading to what is known as an energy hole problem (EHP) around the ZC. In this article the average load traffic pattern for the ZSN has been explored and derived in terms of closed-form mathematical expressions. Also we propose a novel power-saving scheme to alleviate the EHP based on the N-policy M/G/1 queuing model. Having a counter (N) that controls the triggering radio server can reduce power consumption of a generic node. With little management cost, the proposed queue-based power-saving technique can be applied to prolong the lifetime of sensor network economically and effectively. For the proposed queue-based model, mathematical framework on performance measures has been formulated. Focusing on ZigBee routers deployed at the innermost shell of ZSN, numerical and network simulation results validate that the proposed approach indeed provides a feasibly cost-effective approach for lifetime elongation of wireless sensor networks.

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Acknowledgements

This study was supported in part by the National Science Council, Taiwan, R.O.C., under Grant Nos. NSC 100-2220-E-029-004 and NSC 100-2622-E-029-008-CC3.

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Authors and Affiliations

  1. Dept. of Computer Science, Tunghai University, 181 Sec. 3, Taichung Port Rd., Taichung, 40704, Taiwan

    Fuu-Cheng Jiang & Chao-Tung Yang

  2. Dept. of Computer Science and Engineering, National Chung-Hsing University, 250 Kuo-Kuang Rd., Taichung, 40227, Taiwan

    Hsiang-Wei Wu

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  1. Fuu-Cheng Jiang
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  2. Hsiang-Wei Wu
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  3. Chao-Tung Yang
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Correspondence to Chao-Tung Yang.

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Jiang, FC., Wu, HW. & Yang, CT. Traffic load analysis and its application to enhancing longevity on IEEE 802.15.4/ZigBee Sensor Network. J Supercomput 62, 895–915 (2012). https://doi.org/10.1007/s11227-012-0759-9

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  • DOI: https://doi.org/10.1007/s11227-012-0759-9

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