Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86894
Title: Store-Carry-Cooperative Forward Routing with Information Epidemics Control for Data Delivery in Opportunistic Networks
Authors: Aung, Cherry Ye
Ho, Ivan Wang-Hei
Chong, Peter Han Joo
Keywords: Cooperative Forwarding
Opportunistic Networks
Issue Date: 2017
Source: Aung, C. Y., Ho, I. W.-H., & Chong, P. H. J. (2017). Store-Carry-Cooperative Forward Routing with Information Epidemics Control for Data Delivery in Opportunistic Networks. IEEE Access, 5, 6608-6625.
Aung, C. Y., Ho, I. W.-H., & Chong, P. H. J. (2017). Store-Carry-Cooperative Forward Routing with Information Epidemics Control for Data Delivery in Opportunistic Networks. IEEE Access, 5, 6608-6625.
Series/Report no.: IEEE Access
Abstract: Data delivery in opportunistic networks requires robustness and resiliency due to the mobility and probabilistic propagation channels caused by fading. Besides the 100% data delivery, delivery with minimum delay, overhead, buffer consumption, and controlling unnecessary transmissions/replications are equally important. In this paper, we propose a data delivery solution for opportunistic networks. The solution comprises two main algorithms: store-carry-cooperative forward routing and information epidemic control. In the data forwarding, nodes proactively monitor and exploit the direct/two-hop cooperative forwarding opportunities and adaptively switch between the cooperative forwarding and reactive store-carry-forward routing. An information epidemics control algorithm, which provides earlier control signal distribution time and faster recovery rate, is also proposed. The susceptible-infected-recovered model is used to study the effectiveness of the proposed mechanism. Extensive network performance evaluation is conducted under a wide range of scenarios, which include fading environments, obstacle-constrained environments, and mobile social network environments. We show that: 1) the information epidemics control mechanism provides higher vaccination rate and recovery rate; 2) proactive replication incurs a number of unnecessary transmissions; 3) monitoring the vicinity and exploiting the opportunity shorten the data delivery delay; and 4) with the integrated solution, a robust data delivery is achieved and a substantial amount of unnecessary transmissions are well deterred.
URI: https://hdl.handle.net/10356/86894
http://hdl.handle.net/10220/44248
DOI: 10.1109/ACCESS.2017.2690341
Rights: © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.