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Centrality Based Geocasting for Opportunistic Networks

  • Jagdeep SinghEmail author
  • Sanjay K. Dhurandher
  • Isaac Woungang
  • Makoto Takizawa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

Opportunistic networks (OppNets) are a subclass of delay tolerant networks characterized by unstable topology, intermittent connectivity, and no guarantee of the existence of an end-to-end path to carry the messages from source to destination because of node’s mobility. For these reasons, the routing of data in such networks occurs in a store-carry-and-forward approach. Following this approach combined with geocasting as message transmission strategy, this paper proposes a geo-casting protocol for OppNets named Centrality based Geocasting for OPPortunistic networks (CGOPP for short). The proposed scheme combines uni-casting and flooding by first transferring a message to an individual geographic location, then intelligently flood the message to all nodes inside the area by using a degree centrality function. Simulation results are provided, demonstrating the efficiency of the proposed protocol against traditional geo-casting protocols for OppNets, in terms of average latency, delivery ratio, and number of messages forwarded, under varying number of nodes, buffer sizes, and TTL.

Keywords

OppNets Geo-casting Degree of centrality Flooding 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jagdeep Singh
    • 1
    Email author
  • Sanjay K. Dhurandher
    • 2
  • Isaac Woungang
    • 3
  • Makoto Takizawa
    • 4
  1. 1.CAITFS, Division of Information Technology, Netaji Subhas Institute of TechnologyUniversity of DelhiNew DelhiIndia
  2. 2.CAITFS, Department of Information TechnologyNetaji Subhas University of TechnologyNew DelhiIndia
  3. 3.Department of Computer ScienceRyerson UniversityTorontoCanada
  4. 4.Department of Advanced Sciences, Faculty of Science and EngineeringHosei UniversityTokyoJapan

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