4th International ICST Conference on Wireless Internet

Research Article

A Study of MAC Schemes for Wireless Sensor Networks Powered by Ambient Energy Harvesting

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  • @INPROCEEDINGS{10.4108/ICST.WICON2008.4894,
        author={Zhi Ang Eu and Winston K. G. Seah and Hwee-Pink Tan},
        title={A Study of MAC Schemes for Wireless Sensor Networks Powered by Ambient Energy Harvesting},
        proceedings={4th International ICST Conference on Wireless Internet},
        publisher={ICST},
        proceedings_a={WICON},
        year={2010},
        month={5},
        keywords={Wireless Sensor Networks Medium Access Control CSMA Polling Energy Harvesting},
        doi={10.4108/ICST.WICON2008.4894}
    }
    
  • Zhi Ang Eu
    Winston K. G. Seah
    Hwee-Pink Tan
    Year: 2010
    A Study of MAC Schemes for Wireless Sensor Networks Powered by Ambient Energy Harvesting
    WICON
    ICST
    DOI: 10.4108/ICST.WICON2008.4894
Zhi Ang Eu1,*, Winston K. G. Seah2,*, Hwee-Pink Tan2,*
  • 1: NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, CeLS, #05-01, 28 Medical Drive, Singapore 117456
  • 2: Networking Protocols Department, Institute for Infocomm Research (I2R), A*STAR 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632
*Contact email: g0601792@nus.edu.sg, winston@i2r.a-star.edu.sg, hptan@i2r.a-star.edu.sg

Abstract

Energy consumption is a perennial issue in the design of wireless sensor networks which typically rely on portable sources like batteries for power. Recent advances in ambient energy harvesting technology have made it a potential alternative source of energy for powering wireless sensor networks. In this paper, we study the performance of four different medium access control (MAC) protocols based on CSMA and polling techniques for wireless sensor networks which are powered by ambient energy harvesting. First, we define our model for describing the ambient energy harvesting process. Next, we derive the main performance metrics which are the per-node throughput of each sensor node (R) and the network throughput (S) which is the rate of sensor data received by the sink. We validate the analytical models using simulations, and the results show that neither CSMA-based nor polling protocols always gives the best performance results. These results aim to provide insights to the design of algorithms and protocols for wireless sensor networks that rely on ambient energy harvesting for power which is different from the typical assumption of limited power as in the case of batteries.