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Tytuł artykułu

An algorithm for joint location, coverage and routing in wireless sensor networks

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with selected joint problem of location, coverage and routing in a class of wireless sensor networks. The minimization of the total cost of data collection and transmission as well as sensors and sinks location is considered. Its NP-hardness is justified and a heuristic solution algorithm based on the result of the circulation problem in a directed graph is proposed. The quality of the algorithm has been assessed during numerical experiments, and the examples of corresponding results are presented.
Słowa kluczowe
Rocznik
Strony
61--71
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
autor
  • Faculty of Computer Science and Management, Wroclaw University of Technology, Wroclaw, Poland
  • Faculty of Computer Science and Management, Wroclaw University of Technology, Wroclaw, Poland
Bibliografia
  • [1] Abbasi A.A. and Younis M. A survey on clustering algorithms for wireless sensor networks. Computer Communications, 30, 2826-2841, 2007.
  • [2] Bashar S. and Ding Z. Admission control and resource allocation in a heterogeneous OFDMA wireless network. IEEE Transactions onWireless Communications Archive, 8, 4200-4210, 2009.
  • [3] Ben-Daya M., As’ad R., Seliman M. An integrated production inventory model with raw material replenishment considerations in a three layer supply chain. International Journal of Production Economics, 143, 53-61, 2010.
  • [4] Bin W., Wenxin L., Liu L. A survey of energy conservation, routing and coverage in wireless sensor networks. In: Proceedings of 7th International Conference on Active Media Technology, Springer-Verlag, Berlin Heidelberg, 6890, 5970, 2011.
  • [5] Byrka J. and Aardal K. An optimal bifactor approximation algorithm for the metric uncapacitated facility location problem. SIAM Journal on Computing, 39, 2212-2231, 2010.
  • [6] Chuan Z., Chunlin Z., Lei S., Guangjie H. A survey on coverage and connectivity issues in wireless sensor networks. Journal of Network and Computer Applications, 35, 619 - 632, 2012.
  • [7] Coelho L.C., Cordeau J.-F., Laporte G. The inventory-routing problem with transshipment. Computers & Operations Research, 39, 11, 2537-2548, 2012.
  • [8] Drezner Z., Scott C., Song J.-S. The central warehouse location problem revisited. IMA Journal of Management Mathematics, 14, 321-336, 2003.
  • [9] Filcek G. and Józefczyk J. Managing production and transportation in balanced supply networks. Systems Science, 35, 49-59. 2009.
  • [10] Guney E., Aras N., Altnel I.K., Ersoy C. Efficient solution techniques for the integrated coverage, sink location and routing problem in wireless sensor networks. Computers & Operations Research, 39, 1530 - 1539, 2012.
  • [11] Hamacher H.W. and Hennes H. Integrated scheduling and location models: single machine makespan problems. Studies in Locational Analysis, 16, 77-90, 2007.
  • [12] Hoffman A. J. Some recent applications of the theory of linear inequalities to extremal combinatorial analysis. In: Proceedings of Symposium in Applied Mathematics, Amer. Math. Soc, 113-127, 1960.
  • [13] Józefczyk J. Selected decison-making problems for complex operation systems (in Polish). Wroclaw Universty of Technology Press, Wroclaw, 2001.
  • [14] Józefczyk J. Scheduling tasks on moving executors to minimize the maximum lateness. European Journal of Operational Research, 131, 171-187, 2001.
  • [15] Kalsch M.T. and Drezner Z. Solving scheduling and location problems in the plane simultaneously. Computerts & Operations Research, 37, 256-264, 2010.
  • [16] Korsvik J. E., Fagerholt K., Laporte G. A large neighbourhood search heuristic for ship routing and scheduling with split loads. Computers & Operations Research, 38, 474-483, 2011.
  • [17] Kulkarini R.V., Fox Andrster A., Venayagamoorthy G.K. Computational intelligence in wireless sensor networks:A survey. Communications Surveys Tutorials, 13, 68-96, 2011.
  • [18] Li J., Chen H., Chu F. Performance evaluation of distribution strategies for the inventory routing problem. European Journal of Operational Research, 202, 412-419, 2010.
  • [19] Luo J., Rosenberg C., Girard A. Engineering wireless mesh networks: joint scheduling, routing, power control, and rate adaptation. IEEE/ACM Transactions on Networking, 18, 1387-1400, 2010.
  • [20] Moin N.H. and Salhi S. Inventory routing problems: a logistical overview. Journal of the Operational Research Society, 58, 1185-1194, 2007.
  • [21] Metters R.D. Interdependent transportation and production activity at the United States postal service. Journal of the Operational Research Society, 47, 27-37, 1996.
  • [22] Nagy G. and Salhi S. Location-routing: Issues, models and methods. European Journal of Operational Research, 177, 649-672, 2007.
  • [23] Niculescu D. Positioning in ad hoc sensor networks. Network, IEEE, 18, 24-29, 2004.
  • [24] Prodhon C.A Hybrid evolutionary algorithm for the periodic location-routing problem. European Journal of Operational Research, 210, 204-212, 2004.
  • [25] Shankarananda B.M., and Saxena, A. Energy efficient localized routing algorithm for wireless sensor networks. In: Proceedings of 3rd International Conference on Electronics Computer Technology (ICECT), 72-75, 2011.
  • [26] Wang Y. and Huang Z. Coverability of Wireless Sensor Networks. Tsinghua Science & Technology, 6, 622-631, 2011.
  • [27] Zou L., Lu M., Xiong Z. A distributed algorithm for the dead end problem of location based routing in sensor networks. IEEE Transactions on Vehicular Technology, 54, 1509-1522, 2005
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e4fdc05a-8ac7-48e2-9ecf-79b80407de19
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