A forwarding scheme based on swarm intelligence and percolation centrality in opportunistic networks

Jiho Park, Junyeop Lee, Sun Kyum Kim, Kiyoung Jang, Sung Bong Yang

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Incorporating social relationship properties into forwarding schemes in opportunistic networks has become a more and more important paradigm. Communication among the nodes in an opportunistic network relies on intermittent contacts without complete end-to-end paths. Most of these forwarding schemes take advantage of social information such as contact information and social relationship among the nodes in the network. In this paper, we propose a social information based forwarding scheme in opportunistic networks through mimicking honey bees’ behaviors in an artificial bee colony. In the proposed scheme, we adopt the percolation centrality in the social networks to assign certain nodes as “influential” bees. The proposed forwarding scheme is aim at balancing the level between network traffic and transmission delay using the home-cell community-based mobility model (HCMM). Experiments were performed on the network simulator NS-2. The results show that the proposed scheme has outstanding performance for the level of network traffic and transmission delay in comparison to other schemes such as Epidemic, PRoPHET and SimBet when using the HCMM.

Original languageEnglish
Pages (from-to)2511-2521
Number of pages11
JournalWireless Networks
Issue number8
Publication statusPublished - 2016 Nov 1

Bibliographical note

Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2013R1A1A2011114).

Publisher Copyright:
© 2015, Springer Science+Business Media New York.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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