TY - JOUR
T1 - Proactively Placing Static Relays with Social-Link Awareness in Mobile Social Networks
AU - Zhang, Xiaomei
AU - Cao, Guohong
N1 - Funding Information:
Manuscript received September 29, 2018; revised December 17, 2018; accepted December 18, 2018. Date of publication December 21, 2018; date of current version February 12, 2019. This work was supported in part by the National Science Foundation under Grant CNS-1526425 and in part by the Network Science CTA under Grant W911NF-09-2-0053. The review of this paper was coordinated by Prof. L. Guo. (Corresponding author: Xiaomei Zhang.) X. Zhang is with the Department of Computer Science, University of South Carolina Beaufort, Bluffton, SC 29909 USA (e-mail:,[email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2019/2
Y1 - 2019/2
N2 - Mobile social networks have been exploited for data forwarding due to its low cost and better robustness. Existing data forwarding strategies in mobile social networks rely on the pairwise contacts among mobile users. However, these pairwise contacts only provide limited forwarding capabilities and most data fail to be delivered before the expiration time. In this paper, we improve the performance of data forwarding by proactively placing low-cost static relays to increase the opportunistic contacts among the mobile nodes. Based on this idea, an important question is where to place the static relays in the network to best facilitate data forwarding among nodes. To answer this question, we first analyze four real-world datasets of mobile social networks, and identify that data forwarding only appears in a small group of social links. Then, we formalize the problem of static relay placement as an optimization problem, and propose a heuristic based solution to improve the data forwarding performance along these social links. Considering the fact that the social links may evolve over time, we also propose an efficient relay replacement algorithm which replaces the outdated relays with new relays to further improve the data forwarding performance. Evaluation results show that the proposed relay based solutions can significantly improve the performance of data forwarding in mobile social networks.
AB - Mobile social networks have been exploited for data forwarding due to its low cost and better robustness. Existing data forwarding strategies in mobile social networks rely on the pairwise contacts among mobile users. However, these pairwise contacts only provide limited forwarding capabilities and most data fail to be delivered before the expiration time. In this paper, we improve the performance of data forwarding by proactively placing low-cost static relays to increase the opportunistic contacts among the mobile nodes. Based on this idea, an important question is where to place the static relays in the network to best facilitate data forwarding among nodes. To answer this question, we first analyze four real-world datasets of mobile social networks, and identify that data forwarding only appears in a small group of social links. Then, we formalize the problem of static relay placement as an optimization problem, and propose a heuristic based solution to improve the data forwarding performance along these social links. Considering the fact that the social links may evolve over time, we also propose an efficient relay replacement algorithm which replaces the outdated relays with new relays to further improve the data forwarding performance. Evaluation results show that the proposed relay based solutions can significantly improve the performance of data forwarding in mobile social networks.
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U2 - 10.1109/TVT.2018.2889228
DO - 10.1109/TVT.2018.2889228
M3 - Article
AN - SCOPUS:85058986802
SN - 0018-9545
VL - 68
SP - 1903
EP - 1915
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 2
M1 - 8585126
ER -