SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Introduction to Algorithms
Vickrey Prices and Shortest Paths: What is an Edge Worth?
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Proceedings of the 9th annual international conference on Mobile computing and networking
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Truthful multicast routing in selfish wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Proceedings of the 11th annual international conference on Mobile computing and networking
Low-Cost Routing in Selfish and Rational Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
A BGP-based mechanism for lowest-cost routing
Distributed Computing - Special issue: PODC 02
OURS: optimal unicast routing systems in non-cooperative wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Hidden information and actions in multi-hop wireless ad hoc networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
eBay in the Sky: strategy-proof wireless spectrum auctions
Proceedings of the 14th ACM international conference on Mobile computing and networking
Incentive-compatible opportunistic routing for wireless networks
Proceedings of the 14th ACM international conference on Mobile computing and networking
Revenue generation for truthful spectrum auction in dynamic spectrum access
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Auction in multi-path multi-hop routing
IEEE Communications Letters
Practical unicast and convergecast scheduling schemes for cognitive radio networks
Journal of Combinatorial Optimization
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We study the problem of finding the least-priced path (LPP) between a source and a destination in opportunistic spectrum access (OSA) networks. This problem is motivated by economic considerations, whereby spectrum opportunities are sold/leased to secondary radios (SRs). This incurs a communication cost, e.g., for traffic relaying. As the beneficiary of these services, the end user must compensate the service-providing SRs for their spectrum cost. To give an incentive (i.e., profit) for SRs to report their true cost, typically the payment to a SR should be higher than the actual cost. However, from an end user's perspective, unnecessary overpayment should be avoided. So we are interested in the optimal route selection and payment determination mechanism that minimizes the price tag of the selected route and at the same time guarantees truthful cost reports from SRs. This setup is in contrast to the conventional truthful least-cost path (LCP) problem, where the interest is to find the minimum-cost route. The LPP problem is investigated with and without capacity constraints at individual SRs. For both cases, our algorithmic solutions can be executed in polynomial time. The effectiveness of our algorithms in terms of price saving is verified through extensive simulations.