Abstract
Wireless sensor network is an emerging technology capable of having low-cost and low-power and battery-powered sensor node. At this point the protocol concentric clustered power-efficient gathering in sensor information systems and clustered general self organized tree based energy-balance routing protocol energy efficient protocol are used to increase the energy and to extend network lifetime. For these achievement of clustering techniques, optimization technique particle swarm optimization is used for data transmission through base station. If the base station is inaccessible region from the cluster-head, energy consumption will be augmented and it can shrink the lifetime of wireless sensor network. To conquer these, multi-hop gateway node is implemented with both protocol to achieve maximum lifetime and energy efficiency of wireless sensor network. To improve the quality-of-service (QoS) placing more number of gateways is required. So we propose a new algorithm nearer optimal algorithm which recursively computes least possible adequate dominating sets, at the time constantly preserving QoS requirements across iterations. In this paper comparison is done in terms of throughput, packets delivery ratio and number of nodes alive.
Similar content being viewed by others
References
Han, Z., Jie, W., Zhang, J., Liu, L., Tian, K.: A general self-organized tree-based energy-balance routing protocol for wireless sensor network. IEEE Trans. Nucl. Sci. 61, 732–740 (2014)
Kumar, D.: Clustering and general self-organized tree-based energy-balance routing protocol for wireless sensor network. Int. J. Comput. Appl. 118(19), 0975 (2015)
Kazerooni, A.A., Jelodar, H., Aramideh, J.: Leach and heed clustering algorithms in wireless sensor networks. Adv. Sci. Technol. Res. J. 9(25), 7–11 (2015)
Kim, K.T., Youn, H.Y.: Tree-based clustering (TBC) for energy efficient wireless sensor networks. In: Proceedings of the International Conference on AINA 2010, pp. 680–685 (2010)
Salim, A., Osamy, W., Khedr, A.M.: IBLEACH: intra-balanced LEACH protocol for wireless sensor Networks. Wirel. Netw. 20(6), 1515–1525 (2014)
Mantri, D., et al.: Grouping of clusters for efficient data aggregation (GCEDA) in wireless sensor network. In: Proceedings of the 3rd International Conference on IEEE, pp. 132–137 (2013)
Malathi, L., Gnanamurthy, R.K.: Cluster based hierarchical routing protocol for WSN with energy efficiency. Int. J. Mach. Learn. Comput. 4(5), 474 (2014)
Ferng, H.W., Tendean, R., Kurniawan, A.: Energy-efficient routing protocol for wireless sensor networks with static clustering and dynamic structure. Wirel. Person. Commun. 65(6), 347–367 (2012)
Yong, Z., Peia, Q.: A energy-efficient clustering routing algorithm based on distance and residual energy for wireless sensor networks. Proc. Eng. 29, 1882–1888 (2012)
Tunca, C., Isik, S., Donmez, M.Y., Ersoy, C.: Distributed mobile sink routing for wireless sensor networks: a survey. Commun. Surv. Tutor. 16(2), 877–897 (2014)
Akkaya, K., Younis, M.: A survey on routing protocols for wireless sensor networks. Elsevier AdHoc Netw. J. 3(3), 325–349 (2005)
Kumar, A., Singh, J.: Evaluation of cluster based GSTEB protocol for WSN. Int. J. Eng. Innov. Technol. 4(8), 41–48 (2015)
Chen, W.N., et al.: A novel set-based particle swarm optimization method for discrete optimization problems. IEEE Trans. Evol. Comput. 14(2), 278–300 (2010)
Vimalarani, C., Subramanian, R., Sivanandam, S.N.: An enhanced PSO-based clustering energy optimization algorithm for wireless sensor network. Sci. World J. 2016, 11 (2016)
Singh, B., Lobiyal, D.K.: A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks. Human-Centric Comput. Inf. Sci. 2(1), 18 (2012)
Xu, X., Li, X.Y., Song, M.: Efficient aggregation scheduling in multihop wireless sensor networks with SINR constraints. IEEE Trans. Mob. Comput. 21(12), 2518–2528 (2013)
Taruna, S., Kumawat, R., Purohit, G.N.: Multi-hop clustering protocol using gateway nodes in wireless sensor network. Int. J. Wirel. Mob. Netw. 4(4), 169 (2012)
Chandra, R., Qiu, L., Jain, K., Mahdian, M.: Optimizing the placement of integration points in multi-hop wireless networks. In: Proceedings of the International Conference on IEEE ICNP (2004)
Bejerano, Y.: Efficient integration of multihop wireless and wired networks with QoS constraints. IEEE/ACM Trans. Netw. 12(6), 1064–1078 (2004)
Co, X., Zhang, H., Shi, J., Cui, G.: Cluster heads election analysis for multi-hop wireless sensor networks based on weighted graph and particle swarm optimization. In: Proceedings of the IEEE fourth International Conference on computing 7, pp. 599–603 (2008)
Karger, D., Klein, P., Tarjan, R.: A randomized linear-time algorithm to find minimum spanning trees. J. ACM 42, 321–328 (1995)
Aoun, B., Boutaba, R., Iraqi, Y., Kenward, G.: Gateway placement optimization in wireless mesh networks with QoS constraints. IEEE J. Sel. Areas Commun. 24(11), 2127 (2006)
Lu, Z., Wu, L., Pardalos, P.M., Maslov, E., Lee, W., Du, D.-Z.: Routing-efficient CDS construction in disk-containment graphs. Optim. Lett. 8(2), 425–434 (2014)
Ahn, N., Park, S.: An optimization algorithm for the minimum \(k\)-connected \(m\)-dominating set problem in wireless sensor networks. Wirel. Netw. 21(3), 783–792 (2015)
Zhang, J., Zhou, S.M., Xu, L., Wu, W., et al.: An efficient connected dominating set algorithm in wsns based on the induced tree of the crossed cube. Int. J. Appl. Math. Comput. Sci. 25(2), 295–309 (2015). https://doi.org/10.1515/amcs-2015-0023
Rathi, N., Bhattacharya, P.P.: Performance analysis of a concentric cluster based hierarchical routing protocol for WSN. IJCSMC 2(2), 21–27 (2013)
Rathi, N., Pratim, P.: Performance analysis of concentric cluster based PEGASIS for wireless sensor network. In: Proceedings of the International Journal of Computer Applications IJCA: 0975-8887 (2013)
Lindsey, S., Raghavendra, C.: Pegasis: power-efficient gathering in sensor information systems. In: Proceedings of the IEEE Aerospace Conference, vol. 3, pp. 1125–1130 (2002)
Jawad, T.M., Ali, N.A.: Using K-means clustering algorithm with power efficient gathering in sensor information systems protocol. IJCSET 6(1), 9–13 (2016)
Monga, P.: An enhanced distributed fault-tolerant clustering algorithm (EDFCA) using grid deployment for wireless sensor network. Int. J. Adv. Res. Electron. Commun. Eng. 4(6), 1637–1642 (2015)
Gong, B., Jiang, T.: A tree based routing protocol in wireless sensor networks. In: Proceedings of the International Conference on IEEE ICECE, pp. 5729–5732, (2011)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Selvakumar, K., Arieth, R.M. Contrast for QOS based clustered energy efficient protocol with PSO and multi-hop gateways in wireless sensor network. Cluster Comput 22 (Suppl 5), 11883–11890 (2019). https://doi.org/10.1007/s10586-017-1506-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-017-1506-z