Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers

Research Article

Performance Analysis of IEEE 802.15.4 Non-beacon Mode with Both Uplink and Downlink Traffic in Non-saturated Condition

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  • @INPROCEEDINGS{10.1007/978-3-642-03819-8_34,
        author={Tae Kim and Jin Park and Kyung Kim and Bong Choi},
        title={Performance Analysis of IEEE 802.15.4 Non-beacon Mode with Both Uplink and Downlink Traffic in Non-saturated Condition},
        proceedings={Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers},
        proceedings_a={MOBILIGHT},
        year={2012},
        month={6},
        keywords={IEEE 802.15.4 Medium Access Control(MAC) protocol CSMA/CA Markov Chain performance analysis},
        doi={10.1007/978-3-642-03819-8_34}
    }
    
  • Tae Kim
    Jin Park
    Kyung Kim
    Bong Choi
    Year: 2012
    Performance Analysis of IEEE 802.15.4 Non-beacon Mode with Both Uplink and Downlink Traffic in Non-saturated Condition
    MOBILIGHT
    Springer
    DOI: 10.1007/978-3-642-03819-8_34
Tae Kim1,*, Jin Park2,*, Kyung Kim1,*, Bong Choi1,*
  • 1: Korea University
  • 2: USN Service Division, KT
*Contact email: violetgl@korea.ac.kr, vtjinsoo@paran.com, kimkjae@korea.ac.kr, queue@korea.ac.kr

Abstract

We analyze the MAC performance of the IEEE 802.15.4 LR-WPAN with non-beacon mode and non-saturated condition in a star topology. Our approach is to model stochastic behavior of one device with both uplink and downlink traffic as a discrete time Markov chain. First, we propose an analytical model of a device with only downlink traffic. Then, by combining the model of a device with only uplink traffic in and one with downlink traffic in this paper, we obtain the performance measures such as throughput, packet delay, energy consumption and packet loss probability of a device with both uplink and downlink traffic. Our results can be used to find the optimal number of devices so as to satisfy QoS (quality of service) on delay and loss probability.