Coordinator Role Mobility Method for Increasing the Life Expectancy of Wireless Sensor Networks

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The general problem of wireless sensor network nodes is the low-power batteries that significantly limit the life expectancy of a network. Nowadays the technical solutions related to energy resource management are being rapidly developed and integrated into the daily lives of people. The energy resource management systems use sensor networks for receiving and processing information during the realia time. The present paper proposes using a coordinator role mobility method for controlling the routing processes for energy balancing in nodes, which provides dynamic network reconfiguration possibilities. The method is designed to operate fully in the background and can be integrated into any exiting working system.

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  • [1] S. Basagni A. Carosi and C. Petrioli “Controlled Vs. Uncontrolled Mobility in Wireless Sensor Networks: Some Performance Insights” in 2007 IEEE 66th Vehicular Technology Conference Sep. 2007. pp. 269-273.

  • [2] D. M. Blough and P. Santi “Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks” in Proceedings of the 8th annual international conference on Mobile computing and networking - MobiCom ’02 2002. pp. 183-192.

  • [3] A. Jurenoks and L. Novickis “Wireless sensor networks lifetime assessment model development” Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference vol. 3 Jun. 2015. pp. 121-126.

  • [4] H. Karl and A. Willig Protocols and Architecture for Wireless Sensor Networks. Chichester: John Wiley & Sons 2005.

  • [5] S. Kumar A. Arora and T. H. Lai “On the lifetime analysis of alwayson wireless sensor network applications” in IEEE International Conference on Mobile Adhoc and Sensor Systems Conference 2005. p. 3.

  • [6] R. Mautz and S. Tilch “Survey of optical indoor positioning systems” in 2011 International Conference on Indoor Positioning and Indoor Navigation Sep. 2011. pp. 1-7.

  • [7] G. G. Messier and I. G. Finvers “Traffic models for medical wireless sensor networks” IEEE Communications Letters vol. 11 no. 1 pp. 13- 15 Jan. 2007.

  • [8] R. Moghe Y. Yang F. Lambert and D. Divan “Design of a low cost self powered “Stick-on” current and temperature wireless sensor for utility assets” in 2010 IEEE Energy Conversion Congress and Exposition Sep. 2010. pp. 4453-4460.

  • [9] V. Raghunathan C. Schurgers Sung Park and M. B. Srivastava “Energy-aware wireless microsensor networks” IEEE Signal Processing Magazine vol. 19 no. 2 pp. 40-50 Mar. 2002.

  • [10] A. N. Vabiŝevič “Opredelenie položenija v prostranstve elementov besprovodnoj sensornoj seti s pomosju inercialnyh sensorov” in Tezisy dokladov naučno-tehničeskoj konferencii studentov aspirantov i molodyh specialistov 2010. pp. 151-152.

  • [11] M. V. Gekk T. E. Istomin Ja. R. Fajzulhakov and A. V. Čečendaev “Adaptivnyj algoritm bystroj dostavki soobsenij po vydelennym napravlenijam dlja besprovodnyh setej datčikov” Vestnik molodyh učenyh “Lomonosov”. Vypusk III 2006. pp. 55-60.

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