e-Infrastructure and e-Services for Developing Countries. 10th EAI International Conference, AFRICOMM 2018, Dakar, Senegal, November 29-30, 2019, Proceedings

Research Article

Impact of ZRP Zone Radius Value on Wireless Network Performance

  • @INPROCEEDINGS{10.1007/978-3-030-16042-5_16,
        author={Tiguiane Y\^{e}l\^{e}mou and Boureima Zerbo and Mesmin Dandjinou and Oumarou Si\^{e}},
        title={Impact of ZRP Zone Radius Value on Wireless Network Performance},
        proceedings={e-Infrastructure and e-Services for Developing Countries. 10th EAI International Conference, AFRICOMM 2018, Dakar, Senegal, November 29-30, 2019, Proceedings},
        proceedings_a={AFRICOMM},
        year={2019},
        month={3},
        keywords={Wireless networks Routing algorithm Zone Routing Protocol Zone radius Realistic simulation conditions},
        doi={10.1007/978-3-030-16042-5_16}
    }
    
  • Tiguiane Yélémou
    Boureima Zerbo
    Mesmin Dandjinou
    Oumarou Sié
    Year: 2019
    Impact of ZRP Zone Radius Value on Wireless Network Performance
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-030-16042-5_16
Tiguiane Yélémou1,*, Boureima Zerbo2,*, Mesmin Dandjinou1,*, Oumarou Sié2,*
  • 1: University Nazi BONI
  • 2: University Ouaga 1 Professeur Joseph Ki-Zerbo
*Contact email: tyelemou@univ-bobo.bf, bzerbo@gmail.com, dandjimes@yahoo.fr, oumarou.sie@gmail.com

Abstract

In this paper, we highlight the impact of the routing load on the performance of ad hoc wireless networks. Specifically, we analyze Zone Routing Protocol (ZRP) routing load and the impact of zone radius value on this protocol performance. First, we show that performance parameters curves such as routing overhead, Packet Delivery Ratio and End-to-End Delay don’t evaluate monotonously according to zone radius value. In our test context, we note optimal values for routing overhead and Packet Delivery Ratio (PDR) when R = 3. For delay, minimal values are observed when R = 1 and R = 4. Second, we study this hybrid protocol routing overhead according to network density and compare it to pure on-demand and table-driven routing approaches. Contrary to that is largely presented, in realistic wave propagation model context, taking into account obstacles and their effects such as multi-path one, proactive routing approach performs better than reactive one. In fact, in lossy link context, route request and route error packets broadcasted are significant. In dense network, ZRP, due to its multitude control packets, performs the worst for routing overhead and packet delivery ratio (PDR) parameters.