Abstract
The main challenge in the field of Wireless Sensor Networks (WSNs) is the energy conservation as long as possible. Clustering paradigm has proven its ability to prolong the network lifetime. The present paper proposes two algorithms using an approach that combines fuzzy c-means and ant colony optimization to form the clusters and manage the transmission of data in the network. First, fuzzy c-means is used to construct a predefined number of clusters. Second, we apply Ant Colony Optimization (ACO) algorithm to form a local shortest chain in each cluster. A leader node is randomly chosen at the beginning since all cluster nodes have the same amount of energy. In the next transmission, a remaining energy parameter is employed to select leader node. In the first algorithm, leader nodes transmit data in single hop to the distant base station (BS) while in the second the ACO algorithm is applied again to form a global chain between leader nodes and the BS. Simulation results show that the second proposed algorithm consumes less energy and effectively prolongs the network lifetime compared respectively with the first proposed and the LEACH algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Anastasi, G., Conti, M., Di Francesco, M., Passarella, A.: Energy Conservation in Wireless Sensor Networks: A survey. Ad Hoc Networks 7, 537–568 (2009)
Wightmanl, P.M., Labrador, M.A.: Topology Maintenance: Extending the Lifetime of Wireless Sensor Networks. In: IEEE Latin-American Conference on Communications, pp.1–6. IEEE (2009)
Johnen, C., Nguyen, L.H.: Self-stabilizing weight-based clustering algorithm for ad hoc sensor networks. In: Nikoletseas, S.E., Rolim, J.D.P. (eds.) ALGOSENSORS 2006. LNCS, vol. 4240, pp. 83–94. Springer, Heidelberg (2006)
Hoang, D.C., Kumar, R., Panda, S.K.: Fuzzy C-Means Clustering Protocol for Wireless Sensor Networks. In: IEEE International Symposium on Industrial Electronics (ISIE), pp. 3477–3482 (2010)
Lindsey, S., Raghavendra, C.: PEGASIS: Power-efficient gathering in sensor information systems. In: IEEE Aerospace Conference Proceedings, pp. 1125–1130 (2002)
Yu, Y., Song, Y.: An Energy-Efficient Chain-Based Routing Protocol in Wireless Sensor Network. In: International Conference on Computer Application and System Modeling (ICCASM), pp. 486–489. IEEE (2010)
Guo, W., Zhang, W., Lu, G.: PEGASIS protocol in wireless sensor network based on an improved ant colony algorithm. In: Second International Workshop on Education Technology and Computer Science (ETCS), pp. 64–67. IEEE (2010)
Chen, Y., Lin, J., Huang, Y., Cheung, F., Lin, J.: Energy efficiency of a chain-based scheme with Intra-Grid in wireless sensor networks. In: International Symposium on Computer Communication Control and Automation (3CA), pp. 484–487. IEEE (2010)
Lin**, W., Wu, B., Zhen, C., Zufeng, W.: Improved algorithm of PEGASIS protocol introducing double cluster heads in wireless sensor network. In: International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), pp. 148–151. IEEE (2010)
Du, K., Wu, J., Zhou, D.: Chain-based protocols for data broadcasting and gathering in the sensor networks. In: International Parallel and Distributed Processing Symposium, pp. 1926–1933. IEEE (2003)
Wen, Y., Chen, Y., Qian, D.: An Ant-based approach to Power-Efficient Algorithm for Wireless Sensor Networks. In: World Congress on Engineering, pp. 1546–1550 (2007)
Bandyopadhyay, S., Coyle, E.J.: An energy efficient hierarchical clustering algorithm for wireless sensor networks. In: Twenty-Second Annual Joint Conference of the IEEE Computer and Communications, pp. 1713–1723. IEEE Societies (2003)
Banerjee, S., Khuller, S.: A clustering scheme for hierarchical control in multi-hop wireless networks. In: Proceedings of Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies, pp. 1028–1037. IEEE (2001)
Boukerche, A., Werner Nelem Pazzi, R., Borges Araujo, R.: Fault-tolerant wireless sensor network routing protocols for the supervision of context-aware physical environments. Journal of Parallel and Distributed Computing 4, 586–599 (2006)
Boukerche, A., Martirosyan, A.: An energy-aware and fault tolerant inter-cluster communication based protocol for wireless sensor networks. In: IEEE Global Telecommunications Conference, GLOBECOM 2007, pp. 1164–1168. IEEE (2007)
Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, pp. 3005–3014. IEEE (2001)
Manjeshwar, A., Agrawal, D.P.: TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: Proceedings of 15th International Parallel and Distributed Processing Symposium (IPDPS), pp. 2009–2015. IEEE, San Francisco (2001)
Manjeshwar, A., Agrawal, D.P.: APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks. In: 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, pp. 195–202 (2002)
Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 1366–379 (2004)
Izakian, H., Abraham, A., Snasel, V.: Fuzzy clustering using hybrid fuzzy c-means and fuzzy particle swarm optimization. In: World Congress on Nature & Biologically Inspired Computing, pp. 1690–1694. IEEE (2009)
Dorigo, M., Blum, C.: Ant colony optimization theory: A survey. Theoretical Computer Science 344, 243–278 (2005)
Dorigo, M., Stutzle, T.: The ant colony optimization metaheuristic: Algorithms, applications, and advances. In: Handbook of Metaheuristics, pp. 250–285 (2003)
Dorigo, M., Gambardella, L.M.: Ant colonies for the travelling salesman problem. BioSystems 43, 73–81 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hadjila, M., Guyennet, H., Feham, M. (2014). A Hybrid Cluster and Chain-Based Routing Protocol for Lifetime Improvement in WSN. In: Mellouk, A., Fowler, S., Hoceini, S., Daachi, B. (eds) Wired/Wireless Internet Communications. WWIC 2014. Lecture Notes in Computer Science, vol 8458. Springer, Cham. https://doi.org/10.1007/978-3-319-13174-0_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-13174-0_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13173-3
Online ISBN: 978-3-319-13174-0
eBook Packages: Computer ScienceComputer Science (R0)