ICTACT Journal on Communication Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Trust based Cluster Head Selection Approach using RBFO and Hybrid BFO-BSO for Wireless Sensor Network


Affiliations
1 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, India
     

   Subscribe/Renew Journal


The devices to create a connected network are demanded by the communication task which involves in the wireless sensor network for disseminating and collecting the information based on the radio transmission. The network lifetime’s extension in the operational environment is the essential aim of the WSNs for exchanging the batteries of sensor node is an unfeasible or impossible activity probably. The selection of CHs is targeted in the clustered network that reduces the energy and transmission costs. It’s essential to make the optimal selection of CH to improve the lifetime of a network. However, Non-deterministic Polynomial (NP) hard is considered for CH selections. The natural swarm inspired algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Hybrid algorithm (Bacterial foraging Optimization) BFO-BSO (Bee Swarm Optimization) have search their path into the domain and effectiveness is proved. An approach of a trust-based cluster head selection is introduced for improving the efficiency in terms of choosing the cluster head. To compute a trust level for every node, a designing of trust model is done and is implemented. By using the additional three parameters in addition to the hybrid approach such as trust value, residual energy, and the number of neighbors, the cluster heads are chosen. For choosing of cluster head, the T-BOA is adapted to achieve the different objectives such as increased performance of a network, reduced end to end delay, and decreased usage of energy in this work.

Keywords

T-BOA, Trust Model, ACO, BAT Algorithm, WSN, Cluster Head Selection, BFO–BSO, PSO.
Subscription Login to verify subscription
User
Notifications
Font Size

  • N.G. Praveena and H. Prabha, “An Efficient Multilevel Clustering Approach for a Heterogeneous Wireless Sensor Network using Link Correlation”, EURASIP Journal on Wireless Communications and Networking, Vol. 1, No. 2, pp. 1-10, 2014.

  • J.A. Li, J. Zhou and Y. Zhang, “Cluster Head Selection Based on an Information Factor for Wireless Sensor Network Protocol”, Journal of Networks, Vol. 9, No. 9, pp.2384-2391, 2014.

  • S.K. Gupta and P. Sinha, “Overview of Wireless Sensor Network, A Survey”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, No. 1, pp. 5201-5207, 2014.

  • O. Chipara, Z. He, G. Xing, Q. Chen, X. Wang, C. Lu, J. Stankovic and T. Abdelzaher, “Real-Time Power-Aware Routing in Sensor Networks”, Proceedings of 14th IEEE International Conference on Quality of Services, pp. 83-92, 2006.

  • V.W. Mahyastuti and A.A. Pramudita, “Energy Consumption Evaluation of Low Energy Adaptive Clustering Hierarchy Routing Protocol for Wireless Sensor Network”, Proceedings of IEEE International Conference on Communication, Networks and Satellite, pp. 6-9, 2013.

  • M. Tripathi, R.B. Battula, M.S. Gaur and V. Laxmi, “Energy Efficient Clustered Routing for Wireless Sensor Network”, Proceedings of 9th IEEE International Conference on Mobile Ad-hoc and Sensor Networks, pp. 330-335, 2013.

  • T.G. Nguyen, C. So-In and N.G. Nguyen, “Two Energy-Efficient Cluster Head Selection Techniques Based on Distance for Wireless Sensor Networks”, Proceedings of International Conference on Computer Science and Engineering, pp. 33-38, 2014.

  • S. Gambhir and N. Fatima, “Op-LEACH: An Optimized LEACH Method for Busty Traffic in WSNs”, Proceedings of 4th International Conference on Advanced Computing and Communication Technologies, pp. 222-229, 2014.

  • R. Sujee and K.E. Kannammal, “Behavior of LEACH Protocol in Heterogeneous and Homogeneous Environment”, Proceedings of International Conference on Computer Communication and Informatics, pp. 1-8, 2015.

  • T. Sharma, G.S. Tomar, I. Berry, A. Kapoor and S. Jasuja, “Cluster Head Election with Hexagonal Node Deployment Technique in Wireless Sensor Networks”, International Journal of Future Generation Communication and Networking, Vol. 9, No. 1, pp. 247-258, 2016.

  • A. Sheta and B. Solaiman, “Evolving a Hybrid K-Means Clustering Algorithm for Wireless Sensor Network using PSO and Gas”, International Journal of Computer Science Issues, Vol. 12, No. 1, pp. 23-32, 2015.

  • S. Gajjar, M. Sarkar and K. Dasgupta, “FAMACRO: Fuzzy and Ant Colony Optimization based MAC/Routing Cross Layer Protocol for Wireless Sensor Networks”, Procedia Computer Science, Vol. 46, pp. 1014-1021, 2015.

  • A. Rajagopal, S. Somasundaram, B. Sowmya and T. Suguna, “Cluster Head Selection in Wireless Sensor Network using Hybrid BFO-BSO Algorithm”, International Journal of Applied Engineering Research, RI publications, Vol. 10, No. 17, pp. 38245-36250, 2015.

  • C. Komalavalli and C. Laroiya, “A Study of Routing Protocols and Cluster Head Selection Algorithms in WSN”, International Journal of Research and Analytical Reviews, Vol. 5, No. 4, pp. 1-14, 2018.

  • Shishir Rastogi, Neeta Rastogi and Manuj Darbari, “Enhanced Cluster Head Management in Large Scale Wireless Sensor Network using Particle Swarm Optimization (PSO) on the Basis of Distance, Density and Energy”, International Journal of Computer Engineering and Technology, Vol. 10, No. 1, pp. 203-217, 2019.

  • A.S. Rajagopal, B. Sowmya and P. Cerna, “Performance Analysis for Efficient Cluster Head Selection in Wireless Sensor Network using RBFO and Hybrid BFO-BSO”, International Journal of Wireless Communications and Mobile Computing, Vol. 6, No. 1, pp. 1-9, 2018.


Abstract Views: 259

PDF Views: 0




  • A Trust based Cluster Head Selection Approach using RBFO and Hybrid BFO-BSO for Wireless Sensor Network

Abstract Views: 259  |  PDF Views: 0

Authors

V. Rajanesh
Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, India

Abstract


The devices to create a connected network are demanded by the communication task which involves in the wireless sensor network for disseminating and collecting the information based on the radio transmission. The network lifetime’s extension in the operational environment is the essential aim of the WSNs for exchanging the batteries of sensor node is an unfeasible or impossible activity probably. The selection of CHs is targeted in the clustered network that reduces the energy and transmission costs. It’s essential to make the optimal selection of CH to improve the lifetime of a network. However, Non-deterministic Polynomial (NP) hard is considered for CH selections. The natural swarm inspired algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Hybrid algorithm (Bacterial foraging Optimization) BFO-BSO (Bee Swarm Optimization) have search their path into the domain and effectiveness is proved. An approach of a trust-based cluster head selection is introduced for improving the efficiency in terms of choosing the cluster head. To compute a trust level for every node, a designing of trust model is done and is implemented. By using the additional three parameters in addition to the hybrid approach such as trust value, residual energy, and the number of neighbors, the cluster heads are chosen. For choosing of cluster head, the T-BOA is adapted to achieve the different objectives such as increased performance of a network, reduced end to end delay, and decreased usage of energy in this work.

Keywords


T-BOA, Trust Model, ACO, BAT Algorithm, WSN, Cluster Head Selection, BFO–BSO, PSO.

References