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2015 | 5 | 1223--1231
Tytuł artykułu

Energy Balancing Algorithms in Wireless Sensor Networks

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Abstract-The energy consumption in Wireless Sensor Networks, WSN, need to be balanced in order to avoid early depletion of nodes. In this paper we use a common context to analyze a broad range of the energy balancing algorithms suggested in literature. In addition we suggest three new algorithms to complete the range. Altogether, nine different balancing techniques are analyzed. We focuses on networks running the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) routing protocol. Our simple change in RPL's parent selection procedure can give a significant balancing effect without any increase in management cost. However, the best balancing algorithm is when the nodes exchange residual-energy information to ensure forwarding through the highest residual-energy nexthop node. The increased information exchange implies increased management cost due to the amount of information transmitted and added computational load.(original abstract)
Słowa kluczowe
EN
PL
Rocznik
Tom
5
Strony
1223--1231
Opis fizyczny
Twórcy
  • Bergen University
  • Bergen University
autor
  • NTNU, Trondheim
Bibliografia
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  • G. Xu and G. Lu, «Multipath Routing for DAG-based WSN with Mobile Sinks,» Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering ICCSEE, pp. 1678- 1682, 2013.
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  • O.Iova, F. Theoleyre and T. Noel, «Improving the network lifetime with energy-balancing routing: Application to RPL,» Wireless and Mobile Networking Conference (WMNC), pp. 1 - 8 , 2014. http://dx.doi.org/ 10.1109/WMNC.2014.6878864
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  • P. T. A. Quang and D. Kim, «Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks,» TRANSACTIONS ON INDUSTRIAL INFORMATICS, pp. 61-68, 2012. http://dx.doi.org/ 10.1109/TII.2011.2174249
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  • R. Vidhyapriya and P. T. Vanathi, «Energy Efficient Adaptive Multipath Routing forWireless Sensor Networks,» IAENG International Journal of Computer Science, pp. 56-64, 2007.
  • K. Sha, J. Gehlot and R. Greve, «Multipath Routing Techniques in Wireless Sensor Networks: A Survey,» Wireless Personal Communications, pp. 807-829, 2013. http://dx.doi.org/ 10.1007/s11277-012-0723-2
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  • N. A. Pantazis, S. A. Nikolidakis and D. D. Vergados, «Energy- Efficient Routing Protocols in Wireless Sensor Networks: A Survey,» Communications Surveys & Tutorials, pp. 551-591, 2013. http://dx.doi.org/ 10.1109/SURV.2012.062612.00084
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  • C. M. Angelopoulos, G. Filios, S. Nikoletseas, D. Patroumpa, T. P. Raptis and K. Veroutis, «A Holistic IPv6 Test-Bed for Smart, Green Buildings,» International Conference on Communications (ICC), pp. 6050-6054, 2013. http://dx.doi.org/ 10.1109/ICC.2013.6655569
  • «OMNET++ : http://www.omnetpp.org/. (Mars 2015)».
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  • K. K. Gagneja and K. E. Nygard «A QoS based Heuristics for Clustering inTwo-Tier Sensor Networks,» Proceedings of the Federated Conference on Computer Science and Information Systems, FedCSIS, pp. 779-784, 2012.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171423162

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