Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks

Wireless Sensor Networks are categorized by the improved energy consumption parameters. The nodes are deployed in challenging surroundings and they are not communicated for a long time with lacking of energy level. These kinds of nodes will be the victim of security attacks, the conciliation nodes are guided all the data packets send to the base station of the network. In this paper proposes, The Fuzzy-based Secured Authentication and Clustering (FSAC) Algorithm observes the different kinds of the data packets transmitted within the sensors to avoid the attacks. The FSAC is implemented to use the proficient routing path to diminish the energy consumption. This method finds the adjacent transmitting node to improve the proficient path setup for the data packet routing using the fuzzy logic method. The simulation results specify that the proposed method increases the energy up to 12% compared to the related methods.

[1]  Azeddine Bilami,et al.  EDAK: An Efficient Dynamic Authentication and Key Management Mechanism for heterogeneous WSNs , 2017, Future Gener. Comput. Syst..

[2]  Mohamed Elhoseny,et al.  Trust-based secure clustering in WSN-based intelligent transportation systems , 2018, Comput. Networks.

[3]  Iman M. Almomani,et al.  FEAR: Fuzzy-Based Energy Aware Routing Protocol for Wireless Sensor Networks , 2011, Int. J. Commun. Netw. Syst. Sci..

[4]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[5]  Hyunjo Lee,et al.  A New Energy-Efficient Cluster-Based Routing Protocol Using a Representative Path in Wireless Sensor Networks , 2014, Int. J. Distributed Sens. Networks.

[6]  Shahram Babaie,et al.  DEHCIC: A distributed energy-aware hexagon based clustering algorithm to improve coverage in wireless sensor networks , 2018, Peer-to-Peer Netw. Appl..

[7]  Manel Khelifi,et al.  LMEEC: Layered Multi-Hop Energy Efficient Cluster-based Routing Protocol for Wireless Sensor Networks , 2012, ArXiv.

[8]  Weisong Shi,et al.  Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs , 2012, IEEE Transactions on Dependable and Secure Computing.

[9]  Tri Gia Nguyen,et al.  A novel energy-efficient clustering protocol with area coverage awareness for wireless sensor networks , 2017, Peer-to-Peer Netw. Appl..

[10]  Dilip Kumar,et al.  Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks , 2013, IET Wirel. Sens. Syst..

[11]  Young-Guk Ha,et al.  Energy-Efficient Fire Monitoring over Cluster-Based Wireless Sensor Networks , 2012, Int. J. Distributed Sens. Networks.

[12]  Wessam Ajib,et al.  Tensor-Based Efficient Multi-Interferer RFI Excision Algorithms for SIMO Systems , 2017, IEEE Transactions on Communications.

[13]  Le Hoang Son,et al.  Improving lifetime and network connections of 3D wireless sensor networks based on fuzzy clustering and particle swarm optimization , 2018, Wirel. Networks.

[14]  Junfeng Wang,et al.  Energy balancing RPL protocol with multipath for wireless sensor networks , 2017, Peer-to-Peer Networking and Applications.

[15]  K. Selvakumar,et al.  An Intelligent Energy Aware Secured Algorithm for Routing in Wireless Sensor Networks , 2017, Wirel. Pers. Commun..

[16]  Zhu Yong,et al.  A Energy-Efficient Clustering Routing Algorithm Based on Distance and Residual Energy for Wireless Sensor Networks , 2012 .

[17]  Jin-Shyan Lee,et al.  Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication , 2012, IEEE Sensors Journal.

[18]  Mohammad Reza Gholami,et al.  Enhancing Nodes Lifetime Optimum Protocol for Dissemination of Information in WSN , 2014, Int. J. Comput. Commun. Control.

[19]  Djamel Djenouri,et al.  Energy-Aware Constrained Relay Node Deployment for Sustainable Wireless Sensor Networks , 2017, IEEE Transactions on Sustainable Computing.

[20]  G. Saritha,et al.  A Analysis of Flat Routing Protocols in Sensor N/W , 2014 .

[21]  Jiliang Zhou,et al.  Efficient and Secure Routing Protocol Based on Encryption and Authentication for Wireless Sensor Networks , 2010, 2010 International Conference on Artificial Intelligence and Education (ICAIE).

[22]  Shaojie Tang,et al.  Energy-Efficient Opportunistic Routing in Wireless Sensor Networks , 2011, IEEE Transactions on Parallel and Distributed Systems.

[23]  Qinghua Li,et al.  Mitigating Routing Misbehavior in Disruption Tolerant Networks , 2012, IEEE Transactions on Information Forensics and Security.

[24]  Christos Douligeris,et al.  Energy Efficient Routing in Wireless Sensor Networks Through Balanced Clustering , 2013, Algorithms.

[25]  T. Senthil Murugan,et al.  Cluster head selection for energy efficient and delay-less routing in wireless sensor network , 2017, Wireless Networks.

[26]  Muhammad Omer Farooq,et al.  MR-LEACH: Multi-hop Routing with Low Energy Adaptive Clustering Hierarchy , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.

[27]  A. Manjeshwar,et al.  TEEN: a routing protocol for enhanced efficiency in wireless sensor networks , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[28]  Ajay K. Sharma,et al.  Energy Efficient Scheme for Clustering Protocol Prolonging the Lifetime of Heterogeneous Wireless Sensor Networks , 2010 .