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Wireless sensor networks are typically operated on batteries. Therefore, in order to prolong network lifetime, an energy efficient routing algorithm is required. In this paper, an energy-aware routing protocol for the co-operative MIMO scheme in WSNs (EARPC) is presented. It is based on an improved cluster head selection method that considers the remaining energy level of a node and recent energy consumption of all nodes. This means that sensor nodes with lower energy levels are less likely to be chosen as cluster heads. Next, based on the cooperative node selection in each cluster, a virtual MIMO array is created, reducing uneven distribution of clusters. Simulation results show that the proposed routing protocol may reduce energy consumption and improve network lifetime compared with the LEACH protocol.
Słowa kluczowe
Rocznik
Tom
Strony
22--27
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
autor
- Department of Electronics and Communication, Brindavan College of Engineering, Bangalore, India
autor
- School of Electronics and Communication, REVA University, Bangalore, India
autor
- Department of Computer Science, Nitte Meenakshi Institute of Technology, Bangalore, India
Bibliografia
- [1] J. M. Chung, J. Kim, and D. Han, „Multihop hybrid virtual MIMO scheme for wireless sensor networks", IEEE Tran. on Veh. Technol., vol. 61, no. 9, pp. 4069-4078, 2012 (DOI: 10.1109/TVT.2012.2213620).
- [2] S. Cui, A. J. Goldsmith, and A. Bahai, „Energy-eficiency of MIMO and cooperative MIMO techniques in sensor networks", IEEE J. on Selec. Areas in Commun., vol. 22, no. 6, pp. 1089-1098, 2004 (DOI: 10.1109/JSAC.2004.830916).
- [3] L. Fei, Q. Gao, J. Zhang, and G. Wang, „Energy saving in cluster-based wireless sensor networks through cooperative MIMO with idle-node participation", J. of Commun. and Netw., vol. 12, no. 3, pp. 231-239, 2010 (DOI: 10.1109/JCN.2010.6388451).
- [4] P. Wang, and X. Zhang, „Energy-eficient relay selection for QoS provisioning in MIMO-based underwater acoustic cooperative wireless sensor networks", in Proc. 47th Ann. Conf. on Inform. Sci. And Sys. CISS 2013, Baltimore, MD, USA, 2013, pp. 1-6 (DOI: 10.1109/CISS.2013.6552272).
- [5] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, „Energy-efficient communication protocol for wireless microsensor networks", in Proc. of the 33rd Ann. Hawaii Int. Conf. on Syst. Sci., Maui, HI, USA, 2000 (DOI: 10.1109/HICSS.2000.926982).
- [6] S. Cui, and A. J. Goldsmith, „Energy efficient routing based on cooperative MIMO techniques", in Proc. IEEE Int. Conf. on Acoust., Speech, and Sig. Process. ICASSP'05, Philadelphia, PA, USA, 2005, vol. 5, pp. 805-808 (DOI: 10.1109/ICASSP.2005.1416426).
- [7] M. Maadani, S. A. Motamedi, and H. Safdarkhani, „An adaptive rate and coding scheme for MIMO-enabled IEEE 802.11-based Soft-Real-Time wireless sensor and actuator networks", in Proc. 3rd Int. Conf. on Computer Research and Development, Shanghai, China, vol. 1, pp. 439-443 (DOI: 10.1109/ICCRD.2011.5764053).
- [8] S. K. Jayaweera, „Energy efficient virtual MIMO-based cooperative communications for wireless sensor networks", in Proc. Int. Conf. on Intell. Sensing and Information Process., Chennai, India, 2005 (DOI: 10.1109/ICISIP.2005.1529410).
- [9] D. Sathian, R. Baskaran, and P. Dhavachelvan, „A trustworthy energy efficient MIMO routing algorithm based on game theory for WSN", in Proc. IEEE Int. Conf. on Adv. in Engin., Sci. And Manag. ICAESM-2012, Nagapattinam, Tamil Nadu, India, 2012, pp. 499-502 [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215895
- [10] Y. Zuo, Q. Gao, and L. Fei, „Energy optimization of wireless sensor networks through cooperative MIMO with data aggregation", in Proc. of the 21st Ann. IEEE Int. Symp. on Pers., Indoor and Mob. Radio Commun., Instanbul, Turkey, 2010, pp. 1602-1607 (DOI: 10.1109/PIMRC.2010.5671946).
- [11] Y. Qin, Q. Tang, Y. Liang, X. Yue, and X. Li, „An energy-efficient cooperative MIMO scheme for wireless sensor networks based on clustering", in Proc. of the 14th IEEE Int. Conf. on Comput. Sci. and Engin., Dalian, China, 2011, pp. 471-474 (DOI: 10.1109/CSE.2011.86).
- [12] K. C. Reddy, G. D. Devanagavi, and M. N. Thippeswamy, „QoS oriented and energy efficient routing protocol for cooperative MIMO based mobile WSN: Q-E2RPC", J. of Engin. Sci. and Technol. Rev., vol. 12, no. 1, 2019 (DOI: 10.25103/jestr.121.25).
- [13] X. H. Li, M. Chen, and W. Liu, „Cooperative transmissions in wireless sensor networks with imperfect synchronization", in Conference Record of the 38th Asilomar Conf. on Sig., Syst. and Comp., Pacific Grove, CA, USA, 2004, vol. 1, pp. 1281-1285 (DOI: 10.1109/ACSSC.2004.1399348).
- [14] S. Cui, A. J. Goldsmith, and A. Bahai, „Modulation optimization under energy constraints", in Proc. of the IEEE Int. Conf. on Commun. ICC'03, Anchorage, AK, USA, 2003, vol. 4, pp. 2805-2811 (DOI: 10.1109/ICC.2003.1204511).
- [15] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York: McGraw-Hill, 2008 (ISBN: 9780072957167).
- [16] M. Xiao, L. S. Huang, and H. L. Xu, „Virtual MIMO multicast-based multihop transmission scheme for wireless sensor networks", J. of Chinese Comp. Syst., vol. 33, no. 1, pp. 18-23, 2012 [Online]. Available: http://xwxt.sict.ac.cn/EN/volumn/volumn 1295.shtml [in Chinese].
- [17] S. K. Jayaweera, „Energy analysis of MIMO techniques in wireless sensor networks", in Proc. of the 38th Conf. on Inform. Sci. and Syst. CISS 2004, Princeton, New Jersey, USA, 2004 [Online]. Available: https://pdfs.semanticscholar.org/186c/a8081ed1238d52f1da147b2aeb665ee1a00e.pdf
- [18] Y. Gai, L. Zhang, and X. Shan, „Energy efficiency of cooperative MIMO with data aggregation in wireless sensor networks", in Proc. of the IEEE Wirel. Commun. and Network. Conf., Kowloon, China, 2007, pp. 791-796 (DOI: 10.1109/WCNC.2007.151).
- [19] K. Xu, W. Liu, Z. Yang, G. Cheng, and Y. Li, „An end-to-end optimized cooperative transmission scheme for virtual MIMO sensor networks", in Proc. of the 10th IEEE Singapore Int. Conf. on Commun. Syst., Singapore, 2006 (DOI: 10.1109/ICCS.2006.301370).
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Bibliografia
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