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EDA-PEGASIS: A Balanced Energy Aware Routing Approach for Sensor Network to Reduce Cognitive Networking Complexities in Wireless Medium

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Advances in Power Systems and Energy Management (ETAEERE 2020, ETAEERE 2020)

Abstract

The area of Wireless Sensor Network (WSN) unwraps lots of challenges to the field of cognitive networking largely, in the modern era of communication and network engineering. The basis step to tackle the issue related to listening/receiving the data is to introduce effective methodologies in the way of communicating with the nodes in the network. The paper proposes an improvement to the design of WSN formation, where the battery operated Wireless sensor nodes (or nodes)transmits data continously to the Base station (or sink)addressing the challenges in improving QoS parameters and Energy management of nodes. In this paper, we propose a modified version of PEGASIS (Power-Efficient Gathering in Sensor Information System) protocol namely EDA-PEGASIS (Euclidean Distance Assisted – PEGASIS) to improve the lifetime of network by creating partial chains in data gathering after initial run and re-electing the leader node (LN) after energy level of the transmitting node falls below a threshold value by including Euclidean distance as a constraint. The nodes once acted as a LN will not be re-elected until energy level of all the nodes nearing to sink are below the threshold value. As a result, the average energy spent by each node per round is reduced which in turn lower the bandwidth requirement thereby achieving less power dissipation benchmark to increase efficiency and lifetime of the network. Further, this design of communication of nodes using EDA-PEGASIS will help to reduce the computational complexities in Cognitive Network.

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References

  1. S.K. Singh, M. Singh, D. Singh, A survey of energy-efficient hierarchical cluster-based routing in wireless sensor networks. Int. J. Adv. Netw. Appl. (IJANA) 2(02), 570–580 (2010)

    Article  Google Scholar 

  2. J. Rana, S Vhatkar, M. Atique, Comparative study of PEGASIS and PDCH protocols in wireless sensor network, Int. J. Comput. Appl. 0975–8887 (2015)

    Google Scholar 

  3. N. Jamal, A.E. Al-karaki, Kamal, Routing techniques in wireless sensor networks: a survey. IEEE Wireless Commun 11:6{28} (2004)

    Google Scholar 

  4. A.H. Mohajerzadeh, M.H. Yaghmaee, An efficient energy aware routing protocol for real time traffic in wireless sensor networks, in ICUMT’09. International Conference on. IEEE Ultra-Modern Telecommunications and Workshops, 2009 (2009)

    Google Scholar 

  5. S. Lindsey, C.S. Raghavendra, PEGASIS: power-efficient gathering in sensor information systems, in IEEE proceeding on aerospace vol. 3, pp. 1125–1130 (2002)

    Google Scholar 

  6. A. Devasena, B. Sowmya, A study of power and energy efficient clustering protocols in wireless sensor networks. Int. J. Adv. Res. Comput. Sci. Manage. Stud. 1(6) (2013)

    Google Scholar 

  7. Y. Liu, H. Ji, G. Yue, An energy- efficient pegasis-based enhanced algorithm in wireless sensor networks. Technology Forum, China Communications, August 2006

    Google Scholar 

  8. F. Sen, B. Qi, L. Tang, An improved energy-efficient PEGASIS-based protocol in wireless sensor networks, in Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 4 (Shanghai, 2011), pp. 2230–2233

    Google Scholar 

  9. S.P. Deore, A. Pravin, Ensembling: model of histogram of oriented gradient based handwritten devanagari character recognition system. Traitement Du Signal 34(1–2), 7 (2017)

    Google Scholar 

  10. K.K. Kumar, H. Natraj, T.P. Jacob, Motion activated security camera using Raspberry Pi, in 2017 International Conference on Communication and Signal Processing (ICCSP) (IEEE, 2017), pp. 1598–1601

    Google Scholar 

  11. K. Madhu, R.I. Minu, Image segmentation using improved JSEG, in 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (IEEE, 2013, February). pp. 37–42

    Google Scholar 

  12. M. Sharma, A.K. Shaw, Transmission time and throughput analysis of EEELEACH, LEACH and direct transmission protocol: a simulation based approach. Adv. Comput. 3(6), 75 (2012)

    Google Scholar 

  13. Meenu, Vandana, Modified PEGASIS in WSN to increase Network Lifetime. Int. J. Comput. Appl. 52(19), 0975–8887 (2012)

    Google Scholar 

  14. S. Vishakha, S. Suri, Comparative study of hierarchical routing protocols in wireless sensor networks. Int. J. Comput. Sci. Eng. 2(5), 142–147 (2014)

    Google Scholar 

  15. R. Nathiya, S.G. Santhi, Energy efficient routing with mobile collector in wireless sensor networks (WSNs). Int. J. Comput. Sci. Eng. 2, 36–43 (2014)

    Google Scholar 

  16. W. Heinzelman, A. Chandrakasan, H. Balakrishnan, Energy-efficient communication protocols for wireless microsensor networks, in Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS), January 2000

    Google Scholar 

  17. S. Lindsey, C. Raghavendra, K.M. Sivalingam, Data gathering algorithms in sensor networks using the energy metric. IEEE Trans. Parallel Distrib. Syst. 13(9), 924–935 (2002)

    Article  Google Scholar 

  18. S. Vhatkar, M. Atique, Design Issues, characteristics and challenges in routing protocols for wireless sensor networks. Int. J. Comput. Appl. Int. Conf. Workshop Emerg. Trends Technol. (2013) pp. 0975–8887

    Google Scholar 

  19. S. Vhatkar, J. Rana, M. Atique, Performance Evaluation and QOS Analysis of EEPB and PDCH Routing Protocols in Wireless Sensor Networks. IOSR J. Comput. Eng. (IOSR-JCE) 17(5), 101–109 (2015). ISSN: 2278–0661, p-ISSN:2278–8727

    Google Scholar 

  20. R. Mahakud, S. Rath, M. Samantaray, B. Sinha, P. Priya, A. Nayak, A. Kumari, Energy management in wireless sensor network using PEGASIS. Procedia Comput. Sci. 92, 207–212 (2016)

    Google Scholar 

  21. P. Singh, S. Singh, A review: power efficient gathering in sensor information system (PEGASIS) protocol for WSN. Int. Res. J. Eng. Technol. 2(03) (2015). e- ISSN:2395–0056,p-ISSN:2395–0072.

    Google Scholar 

  22. D.G. Anand, H.G. Chandrakanth, M.N. Giriprasad, Energy-efficient clustering for Wireless Sensor Networks: a survey. Int. J. Adv. Res. Comput. Sci. (Case study and Report) 2(6) (2011)

    Google Scholar 

  23. K. Chakravathy, U. Burman, An energy balanced algorithm of PEGASIS protocol in WSN. Int. J. Comput. Sci. Eng. 4(7) (2016)

    Google Scholar 

  24. W. Jing, G. Yu, Y. Xisang, F. Li, J.K. Hye, An enhanced PEGASIS algorithm with Mobile Sink Support for Wireless Sensor Networks, in Wireless Communication and Mobile Computing, vol. 2018, Article ID 9472075 (2018)

    Google Scholar 

  25. Akyildiz et al., A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–144 (2002)

    Article  Google Scholar 

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Sreeram, S., Nagarajan, G. (2021). EDA-PEGASIS: A Balanced Energy Aware Routing Approach for Sensor Network to Reduce Cognitive Networking Complexities in Wireless Medium. In: Priyadarshi, N., Padmanaban, S., Ghadai, R.K., Panda, A.R., Patel, R. (eds) Advances in Power Systems and Energy Management. ETAEERE ETAEERE 2020 2020. Lecture Notes in Electrical Engineering, vol 690. Springer, Singapore. https://doi.org/10.1007/978-981-15-7504-4_57

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  • DOI: https://doi.org/10.1007/978-981-15-7504-4_57

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