EARPC – Energy Aware Routing Protocol for Cooperative MIMO Scheme in WSNs
DOI:
https://doi.org/10.26636/jtit.2020.142720Keywords:
cluster head, cooperative MIMO, virtual MIMO, wireless sensor networksAbstract
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.
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[1] J. M. Chung, J. Kim, and D. Han, “Multi-hop hybrid virtual MIMO scheme for wireless sensor networks”, IEEE Trans. on Veh. Technol., vol. 61, no. 9, pp. 4069–4078, 2012.
View in Google Scholar
[2] S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks”, IEEE J. on Selec. Areas in Commun., vol. 22, no. 6, pp. 1089–1098, 2004.
View in Google Scholar
[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.
View in Google Scholar
[4] P. Wang and X. Zhang, “Energy-efficient 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.
View in Google Scholar
[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.
View in Google Scholar
[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.
View in Google Scholar
[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, 2011, vol. 1, pp. 439–443.
View in Google Scholar
[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.
View in Google Scholar
[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.
View in Google Scholar
[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., Istanbul, Turkey, 2010, pp. 1602–1607.
View in Google Scholar
[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.
View in Google Scholar
[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.
View in Google Scholar
[13] X. H. Li, M. Chen, and W. Liu, “Cooperative transmissions in wireless sensor networks with imperfect synchronization”, in Conf. Record of the 38th Asilomar Conf. on Sig., Syst. and Comp., Pacific Grove, CA, USA, 2004, vol. 1, pp. 1281–1285.
View in Google Scholar
[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.
View in Google Scholar
[15] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York: McGraw-Hill, 2008 (ISBN: 9780072957167).
View in Google Scholar
[16] M. Xiao, L. S. Huang, and H. L. Xu, “Virtual MIMO multicast-based multi-hop 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).
View in Google Scholar
[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.
View in Google Scholar
[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., Hong Kong, China, 2007, pp. 791–796.
View in Google Scholar
[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.
View in Google Scholar
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