CFP last date
20 December 2024
Reseach Article

BIO Inspired Clustering and Routing for Wireless Sensor Networks

by Ruby Chauhan, Rajeev Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 154 - Number 8
Year of Publication: 2016
Authors: Ruby Chauhan, Rajeev Kumar
10.5120/ijca2016912184

Ruby Chauhan, Rajeev Kumar . BIO Inspired Clustering and Routing for Wireless Sensor Networks. International Journal of Computer Applications. 154, 8 ( Nov 2016), 22-27. DOI=10.5120/ijca2016912184

@article{ 10.5120/ijca2016912184,
author = { Ruby Chauhan, Rajeev Kumar },
title = { BIO Inspired Clustering and Routing for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 154 },
number = { 8 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume154/number8/26511-2016912184/ },
doi = { 10.5120/ijca2016912184 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:59:41.856222+05:30
%A Ruby Chauhan
%A Rajeev Kumar
%T BIO Inspired Clustering and Routing for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 154
%N 8
%P 22-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A quality literature survey was carried out in the area of Wireless Sensor Network and it was observed that leach protocol which has been proposed in the literature phase continued some problem, i.e. cluster construction and cluster head selection. PEGASIS overcome shortcomings of LEACH but PEGASIS still lack in outperforms the other two protocols in terms of system lifetime and quality of network on large scale wireless sensor network. Using BFO on LEACH, as each cluster head directly transmit data to base station the network consumes more energy that decreases the network life time and also affect the scalability of nodes in Network as well as Deployment of nodes in the network field.. In this paper we proposed a new protocol to improve the existing PEGASIS protocol for clustering and routing using Bacterial Foraging Optimization simultaneously to evaluate and compare the proposed approach with existing protocol based on parameters like Network lifetime, Energy Consumption, Throughput, Number of alive nodes. In the end we conclude this paper with future research and conclusion that there is need to expanded further this procedure, to apply the quantum acted PSO with BFO for selecting the suitable group head in the remote sensor systems

References
  1. Stephanie Lindsey, Raghavendra, Cauligi “PEGASIS: Power-Efficient Gathering in Sensor Information Systems”, IEEE, volume-310, pp. 336--1686, 2001
  2. Liu, Tao and Li, Feng “Power-efficient clustering routing protocol based on applications in wireless sensor network”, IEEE, pp. 1--6, 2009.
  3. Zhao, Hairong and Zhou, Wuneng and Gao, Yan, “Energy Efficient and Cluster Based Routing Protocol for WSN”, Computational Intelligence and Security (CIS) IEEE, Eighth International Conference, pp. 107--111, 2012.
  4. Gautam, Navin and Pyun, Jae-Young, “Distance aware intelligent clustering protocol for wireless sensor networks” Communications and Networks, IEEE, volume-12, number-2, pp. 122--129, 2010
  5. Elhabyan, Riham S and Yagoub, “Energy efficient clustering protocol for WSN using PSO” Global Information Infrastructure and Networking Symposium (GIIS), IEEE, pages-1--3, 2014.
  6. Fan, Xunli and Du, Feifei and Guo, Jun and Zhang, Jie, “Energy independent clustering routing algorithm for wireless sensor network, Fuzzy Systems and Knowledge Discovery (FSKD)” 11th International Conference, IEEE pp.-845—849, 2014.
  7. Sen, Feng and Bing, Qi and Liangrui, Tang, “An improved energy-efficient pegasis-based protocol in wireless sensor networks, Fuzzy Systems and Knowledge Discovery (FSKD)” 2011 Eighth International Conference On, IEEE, volume-4, pages-2230--2233, 2011.
  8. Nayak, Padmalaya and Anurag, “A Fuzzy Logic based Clustering Algorithm for WSN to extend the Network Lifetime” IEEE, 2015.
  9. Prabhavathi, S and Subramanyam, “ Clustering process for maximizing lifetime using probabilistic logic in WSN Computing Communication and Networking Technologies (ICCCNT)” 2014 International Conference on, IEEE, pp. 1—7, 2014.
  10. Aderohunmu, Femi and Deng, Jeremiah D and Purvis, Martin K and others, “A deterministic energy-efficient clustering protocol for wireless sensor networks, Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)” 2011 Seventh International Conference , IEEE, pp. 341-346, 2011.
  11. Jeet Kamal and Kumar Arun , “Intelligent Cluster Routing Protocol for Wireless Sensor Network based on GA”, International Journal for Innovative Research in Science and Technology, pp. 4--8, 2015
  12. Nagchoudhury, Pooja and Maheshwari, Saurabh and Choudhary, Kavita, “Optimal Sensor Nodes DeploymentMethod Using Bacteria Foraging Algorithm in Wireless Sensor Networks”, Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume , Springer, pp. 221-228,2015.
  13. Pitchaimanickam, B and Radhakrishnan, “A hybrid bacteria foraging using Particle Swarm Optimization algorithm for clustering in wireless sensor networks” Science Engineering and Management Research (ICSEMR), IEEE, 2014 International Conference, pp. 1—6, 2014.
  14. Bala bantaray, Er Madhusmita and Swain, Er Jyoti Prakash and Dash, Madhumita A “Survey on Coverage Problem in Wireless Ad Hoc and Sensor Networks” .
  15. Kavitha, G and Wahidabanu, “FORAGING OPTIMIZATION FOR CLUSTER HEAD SELECTION” Journal of Theoretical & Applied Information Technology, volume-61, number-3, 2014.
  16. Femi A. Aderohunmu , Jeremiah D. Deng , Martin K. Purvis , “A Deterministic Energy-efficient Clustering Protocol for Wireless Sensor Networks.” IEEE, 2011.
  17. K. M. Passino, “Biomimicry of bacterial foraging for distributed optimization and control,” IEEE Control Syst Mag. USA, vol. 22, pp. 52- 67, June 2002.
  18. S. Deng, J. Li, L. Shen, “Mobility-based clustering protocol for wireless sensor networks with mobile nodes”National Mobile Communications Research, IET Wirel. Sens. Syst.,Vol. 1, Iss. 1, pp. 39–47 39, 2011
  19. Z.W. Siew, A. Kiring, H.T. Yew, P. Neelakantan and K.T.K. Teo,“Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Fuzzy Logic Control”, IEEE ,2011
Index Terms

Computer Science
Information Sciences

Keywords

First Node Dead Last Node Alive Swims and Tumble