Wireless Internet. 7th International ICST Conference, WICON 2013, Shanghai, China, April 11-12, 2013, Revised Selected Papers

Research Article

Two-Hop Geographic Multipath Routing in Duty-cycled Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-41773-3_17,
        author={Yuhui Dong and Guangjie Han and Lei Shu and Hui Guo and Chuan Zhu},
        title={Two-Hop Geographic Multipath Routing in Duty-cycled Wireless Sensor Networks},
        proceedings={Wireless Internet. 7th International ICST Conference, WICON 2013, Shanghai, China, April 11-12, 2013, Revised Selected Papers},
        proceedings_a={WICON},
        year={2013},
        month={10},
        keywords={Duty-cycle Wireless sensor networks 2-hop neighborhood Geographic routing},
        doi={10.1007/978-3-642-41773-3_17}
    }
    
  • Yuhui Dong
    Guangjie Han
    Lei Shu
    Hui Guo
    Chuan Zhu
    Year: 2013
    Two-Hop Geographic Multipath Routing in Duty-cycled Wireless Sensor Networks
    WICON
    Springer
    DOI: 10.1007/978-3-642-41773-3_17
Yuhui Dong,*, Guangjie Han,*, Lei Shu1,*, Hui Guo2,*, Chuan Zhu,*
  • 1: Guangdong University of Petrochemical Technology
  • 2: Hohai University
*Contact email: titiyaya09@gmail.com, hanguangjie@gmail.com, lei.shu@live.ie, guohuiqz@gmail.com, dr.river.zhu@gmail.com

Abstract

As an extension of our previous designed Two-Phase geographic Greedy Forwarding (TPGF) routing algorithm in wireless sensor networks (WSNs), this paper proposes a new 2-hop geographic greedy forwarding algorithm called TPGFPlus, which uses 2-hop neighborhood information for geographic routing. In our TPGFPlus, a forwarding node selects its next-hop node which is closest to the based station among all its 1-hop and 2-hop neighbor nodes. Moreover, to prolong network lifetime, not all the nodes are awake for working in our work since the EC-CKN algorithm is applied to make the network be duty-cycled. We evaluate the performance of our algorithm versus running existing TPGF algorithm on the same duty-cycled WSNs. Simulations show that our proposed algorithm outperforms previous work TPGF on finding more average paths and shorter average length of paths, yet without causing additional energy consumption.