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A constant approximation algorithm for link scheduling in arbitrary networks under physical interference model

Published: 18 May 2009 Publication History

Abstract

Link scheduling is crucial in improving the throughput in wireless networks and it has been widely studied under various interference models. In this paper, we study the link scheduling problem under physical interference model where all senders of the links transmit at a given power P and a link can transmit successfully if and only if the Signal-to-Interference-plus-Noise-Ratio (SINR) at the corresponding receiver is at least a certain threshold. The link scheduling problem is to find a maximum "independent set" (MIS) of links, i.e., the maximum number of links that can transmit successfully in one time-slot, given a set of input links. This problem has been shown to be NP-hard [10]. Here we propose the first link scheduling algorithm with a constant approximation ratio for arbitrary background noise N0. When each link l has a weight w(l)>0, we propose a method for weighted MIS with approximation ratio O(min(log maxι∈L w(ι)/minι∈L w||ι||, log maxι∈L w(ι)/minι∈L w||ι||, where ||ι|| is the Euclidean length of a link ι.

References

[1]
Brar, G., Blough, D., and Santi, P. Computationally efficient scheduling with the physical interference model for throughput improvement in wireless mesh networks. In Proceedings of the 12th annual international conference on Mobile computing and networking (2006), pp. 2--13.
[2]
Chafekar, D., Kumar, V., Marathe, M., Parthasarathy, S., and Srinivasan, A. Cross-layer latency minimization in wireless networks with SINR constraints. In Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing (2007), pp. 110--119.
[3]
Chafekar, D., Kumar, V., Marathe, M., Parthasarathy, S., and Srinivasan, A. Approximation Algorithms for Computing Capacity of Wireless Networks with SINR Constraints. In IEEE INFOCOM (2008), pp. 1166--1174.
[4]
Cruz, R., and Santhanam, A. Optimal routing, link scheduling and power control in multihop wireless networks. In IEEE INFOCOM 2003, vol. 1.
[5]
ElBatt, T., and Ephremides, A. Joint scheduling and power control for wireless ad hoc networks. Wireless Communications, IEEE Transactions on 3, 1 (2004), 74--85.
[6]
Gao, Y., Hou, J., and Nguyen, H. Topology Control for Maintaining Network Connectivity and Maximizing Network Capacity under the Physical Model. In IEEE INFOCOM (2008), pp. 1013--1021.
[7]
Giridhar, A., and Kumar, P. Computing and communicating functions over sensor networks. Selected Areas in Communications, IEEE Journal on 23, 4 (2005), 755--764.
[8]
Goussevskaia, O., Oswald, Y., and Wattenhofer, R. Complexity in geometric SINR. In Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing (2007), pp. 100--109.
[9]
Goussevskaia, O., W.R.H.M., and Welzl, E. Capacity of Arbitrary Wireless Networks. In Proceedings of IEEE INFOCOM 09 (2009).
[10]
Gupta, P., and Kumar, P. The capacity of wireless networks. Information Theory, IEEE Transactions on 46, 2 (2000), 388--404.
[11]
Joo, C., Lin, X., and Shroff, N. Understanding the Capacity Region of the Greedy Maximal Scheduling Algorithm in Multi-Hop Wireless Networks. In IEEE INFOCOM (2008), pp. 1103--1111.
[12]
Kumar, V., Marathe, M., Parthasarathy, S., and Srinivasan, A. Algorithmic aspects of capacity in wireless networks. In Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems (2005), pp. 133--144.
[13]
Moscibroda, T. The worst-case capacity of wireless sensor networks. In Proceedings of the 6th international conference on Information processing in sensor networks (2007), pp. 1--10.
[14]
Moscibroda, T., and Wattenhofer, R. The Complexity of Connectivity in Wireless Networks. In Proc. of the 25 thIEEE INFOCOM (2006).
[15]
Moscibroda, T., Wattenhofer, R., and Weber, Y. Protocol Design Beyond Graph-Based Models. In ACM HotNets (2006).
[16]
Moscibroda, T., Wattenhofer, R., and Zollinger, A. Topology control meets SINR: the scheduling complexity of arbitrary topologies. In Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing (2006), pp. 310--321.
[17]
Sharma, G., Mazumdar, R., and Shroff, N. On the complexity of scheduling in wireless networks. In Proceedings of the 12th annual international conference on Mobile computing and networking (2006), pp. 227--238.
[18]
Tassiulas, L. Linear complexity algorithms for maximum throughput in radio networks and input queued switches. In IEEE INFOCOM (1998), pp. 533--539.
[19]
Tassiulas, L., and Ephremides, A. Stability properties of constrained queueing systems and schedulingpolicies for maximum throughput in multihop radio networks. Decision and Control, 1990., Proceedings of the 29th IEEE Conference on (1990), 2130--2132.

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  • (2017)Maximizing Capacity in Cognitive Radio Networks Under Physical Interference ModelIEEE/ACM Transactions on Networking10.1109/TNET.2017.271802225:5(3003-3015)Online publication date: 1-Oct-2017
  • (2017)Maximum Link Activation with Cooperative Transmission and Interference Cancellation in Wireless NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2016.254690616:2(408-421)Online publication date: 1-Feb-2017
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cover image ACM Conferences
FOWANC '09: Proceedings of the 2nd ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing
May 2009
104 pages
ISBN:9781605585239
DOI:10.1145/1540343
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 May 2009

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Author Tags

  1. approximation algorithm.
  2. independent set
  3. link scheduling
  4. physical interference model

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Cited By

View all
  • (2022)Delay Efficient D2D Communications Over 5G Edge-Computing Mobile Networks with Power Control2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS56207.2022.00082(546-554)Online publication date: Oct-2022
  • (2017)Maximizing Capacity in Cognitive Radio Networks Under Physical Interference ModelIEEE/ACM Transactions on Networking10.1109/TNET.2017.271802225:5(3003-3015)Online publication date: 1-Oct-2017
  • (2017)Maximum Link Activation with Cooperative Transmission and Interference Cancellation in Wireless NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2016.254690616:2(408-421)Online publication date: 1-Feb-2017
  • (2016)Boosting Spatial Reuse via Multiple-Path Multihop Scheduling for Directional mmWave WPANsIEEE Transactions on Vehicular Technology10.1109/TVT.2015.247963365:8(6614-6627)Online publication date: Aug-2016
  • (2016)Congestion control using distributed link scheduling in wireless networks2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)10.1109/STARTUP.2016.7583928(1-5)Online publication date: Feb-2016
  • (2016)Low Latency Based Efficient Aggregation Scheduling in Multihop Wireless Sensor Network2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)10.1109/CICN.2016.30(124-128)Online publication date: Dec-2016
  • (2016)A two stage approach for channel transmission rate aware scheduling in directional mmWave WPANsWireless Communications & Mobile Computing10.1002/wcm.252116:3(313-329)Online publication date: 25-Feb-2016
  • (2015)Approximation algorithms for maximum link scheduling under SINR-Based interference modelInternational Journal of Distributed Sensor Networks10.5555/2810710.28364502015(81-81)Online publication date: 1-Jan-2015
  • (2015)Heuristic algorithms for one-slot link scheduling in wireless sensor networks under SINRInternational Journal of Distributed Sensor Networks10.1155/2015/8065202015(23-23)Online publication date: 1-Jan-2015
  • (2015)A Survey of TDMA Scheduling Schemes in Wireless Multihop NetworksACM Computing Surveys10.1145/267795547:3(1-39)Online publication date: 16-Apr-2015
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