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On designing incentive-compatible routing and forwarding protocols in wireless ad-hoc networks: an integrated approach using game theoretical and cryptographic techniques
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 11th annual international conference on Mobile computing and networking table of contents
Cologne, Germany
SESSION: Routing protocols table of contents
Pages: 117 - 131  
Year of Publication: 2005
ISBN:1-59593-020-5
Authors
Sheng Zhong  SUNY at Buffalo, Buffalo, NY
Li (Erran) Li  Bell Laboratories, Murray Hill, NJ
Yanbin Grace Liu  The University of Texas, Austin, TX
Yang (Richard) Yang  Yale University, New Haven, CT
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

In many applications, wireless ad-hoc networks are formed by devices belonging to independent users. Therefore, a challenging problem is how to provide incentives to stimulate cooperation. In this paper, we study ad-hoc games---the routing and packet forwarding games in wireless ad-hoc networks. Unlike previous work which focuses either on routing or on forwarding, this paper investigates both routing and forwarding. We first uncover an impossibility result---there does not exist a protocol such that following the protocol to always forward others' traffic is a dominant action. Then we define a novel solution concept called cooperation-optimal protocols. We present Corsac, a cooperation-optimal protocol consisting of a routing protocol and a forwarding protocol. The routing protocol of Corsac integrates VCG with a novel cryptographic technique to address the challenge in wireless ad-hoc networks that a link's cost (ie, its type) is determined by two nodes together. Corsac also applies efficient cryptographic techniques to design a forwarding protocol to enforce the routing decision, such that fulfilling the routing decision is the optimal action of each node in the sense that it brings the maximum utility to the node. Additionally, we extend our framework to a practical radio propagation model where a transmission is successful with a probability. We evaluate our protocols using simulations. Our evaluations demonstrate that our protocols provide incentives for nodes to forward packets.


REFERENCES

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CITED BY  18

Collaborative Colleagues:
Sheng Zhong: colleagues
Li (Erran) Li: colleagues
Yanbin Grace Liu: colleagues
Yang (Richard) Yang: colleagues