Wireless Personal Communications

, Volume 96, Issue 2, pp 2741–2759 | Cite as

Dynamic Node Deployment and Cross Layer Opportunistic Robust Routing for PoI Coverage Using WSNs

  • Mandar Subhash Karyakarte
  • Anil Srinivas Tavildar
  • Rajesh Khanna


Point of interest (PoI) coverage is a potential application of mobile wireless sensor networks. The paper presents planar localised Delaunay triangulation (PLDT) based algorithm for self-deployment of sensor nodes for PoI coverage and optimise the data forwarding from PoI to sink. The deployment algorithm used to cover a PoI maintains connectivity all along the deployment. PLDT provides connectivity as well as path robustness compared to relative neighbourhood graphs (RNG) based straight line deployment strategy. But PLDT based path from PoI to sink has more number of hops as against RNG based path. To minimize the number of hops a cross-layer opportunistic robust routing protocol (CORRP) is designed and been used. CORRP uses request-to-send–clear-to-send (RTS–CTS) handshaking mechanism to select a forwarder amongst the contending nodes with minimal overheads. Performance of scheme is evaluated for PoI coverage with respect to time and distance.It is observed that the scheme adequately covers the PoI in finite time. The upper and lower bound on number of hops under zero loss and network failure conditions are estimated. Compared to RNG-based straight line deployment, simulation results show that PLDT deployment with CORRP exhibits better performance in the range of 40–10% for energy consumption and 12% for packet reception approximately for increasing value of node sleeping probability. Also the energy consumption under lossy links is less by 40% compared to RNG-based straight line deployment. Thus PLDT based deployment and forwarding with CORRP exhibits improvement for energy consumption, packet reception and ensures robustness.


Point of interest Mobile wireless sensor networks Robust opportunistic routing 



This work is supported through a research grant from Rajiv Gandhi Science and Technology Commission (RGSTC) (Grant No. 2013), Government of Maharashtra, India for research project to establish a system for monitoring air quality for vehicular pollutant using wireless sensor networks. The authors are thankful for the support extended by RGSTC, Government of Maharashtra.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Mandar Subhash Karyakarte
    • 1
  • Anil Srinivas Tavildar
    • 1
  • Rajesh Khanna
    • 2
  1. 1.Vishwakarma Institute of Information TechnologyPuneIndia
  2. 2.Thapar UniversityPatialaIndia

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