A new approach to the maximum-flow problem
Journal of the ACM (JACM)
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An Iterative Rounding 2-Approximation Algorithm for the Element Connectivity Problem
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Characterizing mobility and network usage in a corporate wireless local-area network
Proceedings of the 1st international conference on Mobile systems, applications and services
Relays, base stations, and meshes: enhancing mobile networks with infrastructure
Proceedings of the 14th ACM international conference on Mobile computing and networking
On Placement of Passive Stationary Relay Points in Delay Tolerant Networking
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
Performance of vehicular delay-tolerant networks with relay nodes
Wireless Communications & Mobile Computing
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In mobile networks, node movements may lead to a situation called network partition where an end-to-end path may never exist because the network is divided into several isolated subnetworks. Deploying stationary relays introduces new transmission opportunities leading to the improvement of network connectivity and performance. The majority of the proposed solutions concentrated on deploying the minimum number of relays in the network. However, relay deployment should also be resilient regarding relay node failures. In this paper, we show how the relay deployment problem can be modelled as a k-element connectivity problem in which multiple relay-disjoint paths are deployed to connect isolated subnetworks. To solve this problem, we present three heuristic algorithms targeting at finding the minimum number of relays to form k-element connected networks. Our experiments using synthetic and real data showed that the proposed greedy algorithm is 2 or 3 orders of magnitude faster and never worse than the other two algorithms.