Abstract
Spectrum allocation is a difficult and hot issue in wireless ad hoc networks. An efficient method of spectrum allocation is a key factor to improve quality of service and performance of wireless networks. In this paper, we consider the spectrum allocation problem which asks how to allocate the least number of spectrum blocks in a field to ensure the service on any random k locations simultaneously. Our solution to the spectrum allocation problem is the minimum k-Roman dominating set. We propose two distributed algorithms for the issue of spectrum allocation in wireless ad hoc networks. One is a distributed 6k-approximation algorithm for the spectrum allocation of satisfying any random k (k ≥ 2) locations in the class of unit ball graphs. The other one is a better distributed algorithm for finding a (1 + ε)-approximation for the spectrum allocation problem of serving any random two locations, in the class of growth-bounded graphs. We also describe the simulation results and analyze them.
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References
Chen J, Li H, Wu J (2011) SES: Stable and efficient solution for rate control and spectrum allocation in wireless LANs. Wirel Pers Commun 66:81–99
Cockayne EJ, Dreyer Jr PA, Hedetniemi SM, Hedetniemi ST (2004) ROman domination in graphs. Discret Math 278:11–22
Chambers EW, Kinnersley B, Prince N, West DB (2009) Extremal problem for rOman domination. SIAM J Discret Math 23:1575–1586
Feng ZH, Yang YL (2009) Joint transport, Routing and Spectrum Sharing Optimization for Wireless Networks with Frequency Agile Radios. In: Proceedings of IEEE INFOCOM, pp 1665–1673
Henning MA (2003) Defending the roman empire from multiple attacks. Discret Math 271:101–115
Huang H, Richa AW, Segal M (2004) Approximation Algorithms for the Mobile Piercing Set Problem with Applications to Clustering in Ad-Hoc Networks, vol 9. ACM Springer Mobile Networks and Applications (MONET), pp 151–161
Kuhn F, Nieberg T, Moscibroda T, Wattenhofer R (2005) Local approximation schemes for ad hoc and sensor networks, DIALM-POMC, 97-103 Germany
Linial N (1992) Locality in distributed graph algorithms. SIAM J Comput 21:193–201
Liu CH, Chang GJ (2012) ROman domination on 2-connected graphs. SIAM J Discret Math 26:193–205
Moscibroda T, Chandra R, Wu Y, Sengupta S, Bahl P, Yuan Y (2008) Load-aware spectrum distribution in wireless LANs. In: Proceedings IEEE Int’l Conference Network Protocols (ICNP), pp 137–146
Nieberg T, Hurink J (2004) Wireless communication graphs. In: Proceedings 2004 Intelligent Sensors, Sensor Networks Information Processing Conference, pp 367–372
Peleg D (2000) Distributed Computing-A Locality-Sensitive approach. SIAM, Philadelphia, PA
Rayanchu S, Shrivastava V, Banerjee S, Chandra R (2012) FLUID: Improving Throughputs in enterprise wireless LANs through flexible channelization. IEEE Tran Mobile Comput 11:1455–1469
ReValle CS (1997) Can you protect the roman empire?. Johns Hopkins Magazine, pp 40–40
Schneider J, Wattenhofer R (2008) A log-star distributed maximal independent set algorithm for growth-bounded graphs
Shang WP, Hu XD (2007) The roman domination Problem in Unit Disk Graphs. Lect Notes Comput Sci 4489:305–312
Stewart I (1999) Defend the roman empire!. Sci Am 281:136–138
Tandra R, Sahai A (2005) Fundamental limits on detection in low SNR under noise uncertainty. In: Proceedings of the Int'l Conference on Wireless Networks, Communications and Mobile Computing, pp 464–469
Yang L, Hou W, Zhao BY (2010). In: Proceedings of the 7th USENIX conference on Networked systems design and implementation, pp 5–5
Yuan Y, Bahl P, Chandra R, Moscibroda T, Wu Y (2007) Allocating dynamic time-spectrum blocks in cognitive radio networks. In: Proceedings of the 8th ACM Int?l Symp. on Mobile Ad Hoc Networking and Computing, pp 130–139
Acknowledgments
The authors would like to thank the anonymous reviewers for their valuable suggestions and comments that have helped a lot to improve the quality of the paper. This work is partially supported by the National Science Foundation of China under Grant No.61301159, No.61273047 and No.11471003, China Postdoctoral Science Foundation No.2015M571635, and the Natural Science Foundation of the Jiangsu Higher Education Institutions of China No.13KJB1100188.
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Dr. Yalin Shi and Dr. Jian Chen are Co-Primary authors of the paper.
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Shi, Y., Chen, J., Wang, L. et al. Distributed Approximation Algorithms for Spectrum Allocation in Wireless ad Hoc Networks. Mobile Netw Appl 21, 962–973 (2016). https://doi.org/10.1007/s11036-016-0714-8
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DOI: https://doi.org/10.1007/s11036-016-0714-8