Abstract
An energy efficient algorithm with security is necessary to extend the existence of the Wireless Sensor Network (WSN). Since sensing, data processing and data transmission by sensor nodes requires more energy, the sensor node become dead due to the presence of rechargeable batteries. In this paper, a security constraint cluster head selection methodology is implemented using Firefly with Dual Update Process (FFDUP) algorithm to reach the objectives such as minimization of energy, delay and distance and maximization of security. Then the analysis based on the network sustainability, manner of cluster head distribution, security awareness and trade-off occurred from the proposed FFDUP algorithm is determined and validated by comparing with conventional algorithms such as Artificial Bee Colony (ABC), FABC, Firefly (FF) and Artificial Bee Colony- Dynamic Scout Bee (ABC-DS). The analytical results proved that the proposed algorithm for the cluster head selection provides superior performance when compared with existing algorithm.
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References
Dongare, S.P., Mangrulkar, R.S.: Optimal cluster head selection based energy efficient technique for defending against gray hole and black hole attacks in wireless sensor networks. Procedia Comput. Sci. 78, 423–430 (2016)
Li, B.L.: High performance flexible sensor based on inorganic nanomaterials. Discovering Value 176, 522–533 (2013)
Sharma, R., Mishra, N., Srivastava, S.: A proposed energy efficient distance based cluster head (DBCH) Algorithm: An improvement over LEACH. Procedia Comput. Sci. 57, 807–814 (2015)
Geeta, D.D., Nalini, N., Biradar, R.C.: Fault tolerance in wireless sensor network using hand-off and dynamic power adjustment approach. J. Netw. Comput. Appl. 36(4), 1174–1185 (2013)
Hosseinirad, S.M., Ali, M.N., Basu, S.K.: LEACH routing algorithm optimization through imperialist approach. Int. J. Eng. Trans. A 27(1), 39–50 (2014)
He, P., Tian, H., Shen, H.: Energy-efficient cooperative MIMO routing inwireless sensor networks. In: IEEE International Conference on Networks, pp. 74–79, December 2012
Fan, C.S.: Rich: Region-based intelligent cluster-head selection and node deployment strategy in concentric-based WSNs. Adv. Electr. Comput. Eng. 13(4), 3–8 (2013)
Shen, H., Li, Z.: A P2P-based market-guided distributed routing mechanism for high-throughput hybrid wireless networks. IEEE Tans. Mob. Comput. 14, 245–260 (2015)
Zou, Y., Chakrabarty, K.: Sensor deployment and target localizations based on virtual forces. In: Proceedings of the IEEE INFOCOM 2003 (2003)
Yu, X., Li, C., Low, Z.N.: Wireless hydrogen sensor network using AlGaN/GaN high electron mobility transistor differential diode sensors. Sens. Actuators B-Chem. 135(1), 188–194 (2008)
Tyagi, S., Kumar, N.: A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks. J. Netw. Comput. Appl. 36(2), 623–645 (2013)
Javaid, N., Waseem, M., Khan, Z.A.: ACH: Away cluster heads scheme for energy efficient clustering protocols in WSNs. In: Saudi International Electronics, Communications and Photonics Conference, Piscataway, pp. 364–367. IEEE (2013)
Kumar, R., Kumar, D.: Multi-objective fractional artificial bee colony algorithm to energy aware routing protocol in wireless sensor network. Wireless Netw. 22(5), 1461–1474 (2016)
Singh, B., Lobiyal, D.K.: A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks. Hum.-Centric Comput. Inf. Sci. 2(13), 1–18 (2012)
Poduri, S., Sukhatme, G.S.: Constrained coverage for mobile sensor networks. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004), pp. 165–172, May 2004
Puggelli, A., Puggelli, A.: Routing-aware design of indoor wireless sensor networks using an interactive tool. IEEE Syst. J. 9(3), 714–727 (2016)
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(2), 732–740 (2014)
Tang, D., Li, T., Ren, J., Jie, W.: Cost-aware secure routing (CASER) protocol design for wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 26(4), 960–973 (2015)
Jia, D., Zhu, H., Zou, S., Po, H.: Dynamic cluster head selection method for wireless sensor network. IEEE Sens. J. 16(8), 2746–2754 (2015)
Shankar, T., Shanmugavel, S., Rajesh, A.: Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks. Swarm Evol. Comput. 30, 1–10 (2016)
Gautam, N., Pyun, J.Y.: Distance aware intelligent clustering protocol for wireless sensor networks. J. Commun. Netw. 12(2), 122–129 (2010)
Leu, J.S., Chiang, T.H., Yu, M.C., Su, K.W.: Energy efficient clustering scheme for prolonging the lifetime of wireless sensor network with isolated nodes. IEEE Commun. Lett. 19(2), 259–262 (2015)
Chung, W.Y., Lee, B.G., Yang, C.S.: 3D virtual viewer on mobile device for wireless sensor network-based RSSI indoor tracking system. Sens. Actuators B-Chem. 140(1), 35–42 (2009)
Lin, H., Wang, L., Kong, R.: Energy efficient clustering protocol for large-scale sensor networks. IEEE Sens. J. 15(12), 7150–7160 (2015)
Lee, J.S., Cheng, W.L.: Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sens. J. 12(9), 2891–2897 (2012)
Parvin, J.R., Vasanthanayaki, C.: Particle swarm optimization-based clustering by preventing residual nodes in wireless sensor networks. IEEE Sens. J. 15(8), 4264–4274 (2015)
Hoang, D.C., Yadav, P., Kumar, R., Panda, S.K.: Real-time implementation of a harmony search algorithm-based clustering protocol for energy-efficient wireless sensor networks. IEEE Trans. Industr. Inf. 10(1), 774–783 (2014)
Cheng, L., Niu, J., Cao, J., Das, S.K., Gu, Y.: QoS aware geographic opportunistic routing in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 25(7), 1864–1875 (2014)
Fotouhi, H., Alves, M., Zamalloa, M.Z.: Reliable and fast hand-offs in low-power wireless networks. IEEE Trans. Mob. Comput. 13(11), 2621–2633 (2014)
Boudriga, N., Baghdadi, M., Obaidat, M.S.: A new scheme for mobility, sensing, and security management in wireless ad hoc sensor networks. In: 39th Annual Simulation Symposium (ANSS 2006), p. 7 (2006)
Du, X., Chen, H.: Security in wireless sensor networks. In: IEEE Wireless Communications, vol. 15, no. 4, pp. 60–66, August 2008
Jokhio, S.H., Jokhio, I.A., Kemp, A.H.: Light-weight framework for security-sensitive wireless sensor networks applications. IET Wirel. Sens. Syst. 3(4), 298–306 (2013)
Chelli, K.: Security issues in wireless sensor networks: attacks and countermeasures. In: Proceedings of the World Congress on Engineering 2015, vol. 1 (2015)
Youssef, M., Youssef, A., Younis, M.: Overlapping multihop clustering for wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 20(12), 1844–1856 (2009)
Younis, O., Krunz, M., Ramasubramanian, S.: Node clustering in wireless sensor networks: recent developments and deployment challenges. IEEE Netw. 20(3), 20–25 (2006)
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Shankar, A., Jaisankar, N. (2018). Security Enabled Cluster Head Selection for Wireless Sensor Network Using Improved Firefly Optimization. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_18
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DOI: https://doi.org/10.1007/978-3-319-60618-7_18
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