Abstract
Wireless Mesh Networks (WMNs), also referred to as a form of wireless ad hoc network are in fact one particular type of Wireless Sensor Networks (WSNs), whose topology can vary from a simple star network to an advanced multi-hop wireless mesh network. The main topological feature in this case is that nodes are organized in a mesh topology, making WMNs a reliable infrastructure through redundancy of multi-hop communications. The main issue of WMNs is to achieve network connectivity and stability as well as Quality of Service (QoS) in terms of user coverage. This problem is very closely related to the family of node placement problems in WMNs, among them, the mesh router mesh nodes placement. In this work we present some optimization problems in WMNs and Hill Climbing (HC) heuristic method for solving mesh router node placement near-optimally. We formulate the optimization problems using bi-objective optimization models. Thus, for the mesh router nodes placement, the bi-objective optimization problem is obtained consisting in the maximization of the size of the giant component in the mesh routers network (for measuring network connectivity) and that of user coverage. Some computational results are presented and discussed for the HC method, which is an effective local search method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akyildiz, I.F., Wang, X., Wang, W.: Wireless mesh networks: a survey. Comput. Netw. 47(4), 445–487 (2005)
Tang, M.: Gateways placement in backbone wireless mesh networks. Int. J. Commun. Netw. Syst. Sci. 1, 1–89 (2009)
Chen, C., Chekuri, C.: Urban wireless mesh network planning: the case of directional antennas. Tech Report No. UIUCDCS-R-2007-2874, Department of Computer Science, University of Illinois at Urbana-Champaign (2007)
Zhou, P., Manoj, B.S., Rao, R.: A gateway placement algorithm in wireless mesh networks. In: Proceedings of the 3rd International Conference on Wireless Internet (Austin, Texas, October 22–24, 2007). ICST (Institute for Computer Sciences Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, pp. 1–9 (2007)
Vanhatupa, T., Hannikainen, M., Hamalainen, T.D.: Genetic algorithm to optimize node placement and configuration for WLAN planning. In: Proceedings of 4th International Symposium on Wireless Communication Systems, pp. 612–616 (2007)
Nandiraju, N., Nandiraju, D., Santhanama, L., He, B., Wang, J., Agrawal, D.: Wireless mesh networks: current challenges and future direction of web-in-the-sky. IEEE Wirel. Commun. 14, 79–89 (2007)
Shamshirband, S., et al.: D-FICCA: a density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks. Measurement 55, 212–226 (2014)
Amaldi, E., Capone, A., Cesana, M., Filippini, I., Malucelli, F.: Optimization models and methods for planning wireless mesh networks. Comput. Netw. 52, 2159–2171 (2008)
Shojafar, M., et al.: Improving channel assignment in multi-radio wireless mesh networks with learning automata. Wirel. Pers. Commun. 82(1), 61–80 (2015)
Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, San Francisco (1979)
Lim, A., Rodrigues, B., Wang, F., Xua, Z.: k-Center problems with minimum coverage. Theoret. Comput. Sci. 332, 1–17 (2005)
Wang, J., Xie, B., Cai, K., Agrawal, D.P.: Efficient mesh router placement in wireless mesh networks. In: Proceedings of IEEE MASS07, pp. 1–9 (2007)
Li, F., Wang, Y., Li, X.-Y., Nusairat, A., Wu, Y.: Gateway placement for throughput optimization in wireless mesh networks. Mob. Netw. Appl. 13(1–2), 198–211 (2008)
Muthaiah, S.N., Rosenberg, C.: Single gateway placement in wireless mesh networks. In: Proceedings of 8th International IEEE Symposium on Computer Networks, Turkey (2008)
Wong, J., Jafari, R., Potkonjak, M.: Gateway placement for latency and energy efficient data aggregation. In: Proceedings IEEE LCN, pp. 490–497 (2004)
Antony Franklin, A., Siva Ram Murthy, C.: Node placement algorithm for deployment of two-tier wireless mesh networks. In: Proceedings of IEEE GLOBECOM 2007, IEEE Global Communications Conference, pp. 4823–4827 (2007)
Xhafa, F., Snchez, C., Barolli, L.: Genetic algorithms for efficient placement of router nodes in wireless mesh networks. In: AINA, pp. 465–472 (2010)
Xhafa, F., Snchez, C., Barolli, L., Miho, R.: An annealing approach to router nodes placement problem in wireless mesh networks. In: CISIS, pp. 245–252 (2010)
Barolli, A., Xhafa, F., Takizawa, M.: Optimization problems and resolution methods for node placement in wireless mesh networks. In: 14th International Conference on Network-Based Information Systems (NBiS), pp. 126–134 (2011)
Glover, F.: Future paths for integer programming and links to artificial intelligence. Comput. Oper. Res. 5, 533549 (1986)
Holland, J.: Adaptation in Natural and Artifitial Systems. University of Michigan Press, Ann Arbor (1975)
Xhafa, F., Sanchez, C., Barolli, L.: Ad hoc and neighborhood search methods for placement of mesh routers in wireless mesh networks. In: Proceedings of ICDCS Workshops of the IEEE 29th International Conference on Distributed Computing Systems (ICDCS09), pp. 400–405 (2009)
Xhafa, F., Bravo, A., Barolli, A., Takizawa, M.: An interface for simulating node placement in wireless mesh networks. In: 15th International Conference on Network-Based Information Systems, pp. 326–334 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Spaho, E., Xhafa, A., Elmazi, D., Xhafa, F., Barolli, L. (2017). A Study on Performance of Hill Climbing Heuristic Method for Router Placement in Wireless Mesh Networks. In: Abraham, A., Falcon, R., Koeppen, M. (eds) Computational Intelligence in Wireless Sensor Networks. Studies in Computational Intelligence, vol 676. Springer, Cham. https://doi.org/10.1007/978-3-319-47715-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-47715-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47713-8
Online ISBN: 978-3-319-47715-2
eBook Packages: EngineeringEngineering (R0)