Approximation schemes for covering and packing problems in image processing and VLSI
Journal of the ACM (JACM)
Proceedings of the 10th annual international conference on Mobile computing and networking
Capacity of multi-channel wireless networks: impact of number of channels and interfaces
Proceedings of the 11th annual international conference on Mobile computing and networking
Proceedings of the 11th annual international conference on Mobile computing and networking
Characterizing the capacity region in multi-radio multi-channel wireless mesh networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Maximum Weighted Matching with Interference Constraints
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Wireless Communications & Mobile Computing - Special Issue on Ad Hoc Wireless Networks
On the complexity of scheduling in wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Superimposed code based channel assignment in multi-radio multi-channel wireless mesh networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
A new model for scheduling packet radio networks
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Throughput and Fairness Guarantees Through Maximal Scheduling in Wireless Networks
IEEE Transactions on Information Theory
IEEE/ACM Transactions on Networking (TON)
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A channel scheduling problem for a given graph G(V, E) is to select a subset E′ of edges of E and assign channel to each one in E′ under the restriction that all edges of E′ are interference free. We introduce the notion of two sides approximation for the channel scheduling problem. A pair of parameters (f, g) controls the accuracy of approximation in this paper. A (f, g)-approximation satisfies Σe∈E′ W(e) ≥ Σe∈Opt W(e)/f and Σe∈E-E′ W(e) ≤ g Σe∈E-Opt* W(e), where Opt* is the set of edges assigned channels in an optimal solution, and W(e) is the weight of edge e. An f-approximation satisfies Σe∈E′ W(e) ≥ Σe∈Opt W(e)/f. We show that a simple greedy algorithm can obtain an (O(1), O(1))-approximation for the single channel scheduling problem. In many cases, the greedy algorithms gives much more accurate result than the worst ratio. Furthermore, we develop an |E|O(1/ε) time (1 - ε,O(1))-approximation algorithm for the single channel scheduling problem. We also show that a simple greedy algorithm can obtain an O(1)-approximation for the multi-channel scheduling problem which satisfies Σe∈E′ W(e) ≥ Σe∈Opt W(e)/Ω(1). We also develop a |E|O(d/ε) time (1 - ε)-approximation algorithm the multi-channel scheduling problem, where d is the number of channels. This improves the existing approximation scheme for multi-channel scheduling problem with |E|O(d/ε2) time by Cheng et al. We also develop a polynomial time constant factor greedy approximation algorithm for the multi-channel scheduling that allows variate radii of interference among those nodes.