IRONMAN: Using social networks to add incentives and reputation to opportunistic networks

Gregory John Bigwood; Tristan Henderson

doi:10.1109/PASSAT/SocialCom.2011.60

IRONMAN: Using social networks to add incentives and reputation to opportunistic networks

Gregory John Bigwood, Tristan Henderson

School of Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

Opportunistic networks enable users to communicate in the absence of network infrastructure. But forwarding messages in such a network incurs costs for nodes in terms of energy and storage. This may lead to nodes being selfish and not forwarding messages for other nodes, resulting in degraded network performance. This paper presents a novel incentive mechanism for opportunistic networks that uses pre-existing social-network information to detect and punish selfish nodes,
incentivising them to participate in the network. Trace-driven simulations demonstrate that our mechanism performs better than existing mechanisms, and that social-network information can also be used to improve existing incentive mechanisms.

Original language	English
Pages	65-72
Number of pages	8
DOIs	https://doi.org/10.1109/PASSAT/SocialCom.2011.60
Publication status	Published - 9 Oct 2011
Event	The Third IEEE International Conference on Social Computing (SocialCom) - Boston, United States Duration: 9 Oct 2011 → 11 Oct 2011

Conference

Conference	The Third IEEE International Conference on Social Computing (SocialCom)
Country/Territory	United States
City	Boston
Period	9/10/11 → 11/10/11

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10.1109/PASSAT/SocialCom.2011.60

Socialcom2011
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abstract = "Opportunistic networks enable users to communicate in the absence of network infrastructure. But forwarding messages in such a network incurs costs for nodes in terms of energy and storage. This may lead to nodes being selfish and not forwarding messages for other nodes, resulting in degraded network performance. This paper presents a novel incentive mechanism for opportunistic networks that uses pre-existing social-network information to detect and punish selfish nodes,incentivising them to participate in the network. Trace-driven simulations demonstrate that our mechanism performs better than existing mechanisms, and that social-network information can also be used to improve existing incentive mechanisms.",

author = "Bigwood, {Gregory John} and Tristan Henderson",

note = "Paper published in IEEE Proceedings of SocialCom 2011.; The Third IEEE International Conference on Social Computing (SocialCom) ; Conference date: 09-10-2011 Through 11-10-2011",

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AU - Henderson, Tristan

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N2 - Opportunistic networks enable users to communicate in the absence of network infrastructure. But forwarding messages in such a network incurs costs for nodes in terms of energy and storage. This may lead to nodes being selfish and not forwarding messages for other nodes, resulting in degraded network performance. This paper presents a novel incentive mechanism for opportunistic networks that uses pre-existing social-network information to detect and punish selfish nodes,incentivising them to participate in the network. Trace-driven simulations demonstrate that our mechanism performs better than existing mechanisms, and that social-network information can also be used to improve existing incentive mechanisms.

AB - Opportunistic networks enable users to communicate in the absence of network infrastructure. But forwarding messages in such a network incurs costs for nodes in terms of energy and storage. This may lead to nodes being selfish and not forwarding messages for other nodes, resulting in degraded network performance. This paper presents a novel incentive mechanism for opportunistic networks that uses pre-existing social-network information to detect and punish selfish nodes,incentivising them to participate in the network. Trace-driven simulations demonstrate that our mechanism performs better than existing mechanisms, and that social-network information can also be used to improve existing incentive mechanisms.

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Y2 - 9 October 2011 through 11 October 2011

ER -

IRONMAN: Using social networks to add incentives and reputation to opportunistic networks

Abstract

Conference

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