Energy and RSSI based fuzzy inference system for cluster head selection in wireless sensor networks

Al-Kashoash, Hayder A. A.; Rahman, Zain-Aldeen S. A.; Alhamdawee, Ehsan Mohsen

doi:10.1145/3321289.3321319

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…The clustering idea comprises two phases: an energy-efficient and cluster head election based on security procedure and the cluster is formulated. According to this plan [22][23][24], the most power-efficient and safest network node will be elected as CH. Because of this, the CH election process proceeds on the basis of the evaluated trust mark and behavior analysis.…”

Section: A) Cluster Head Election Processmentioning

confidence: 99%

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

Prasad¹,

Vuyyuru²,

Sushma³

et al. 2022

IJRITCC

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A Mobile Ad Hoc Networks (MANETs) comprises of the vast range of devices such as sensors, smart phones, laptops and other mobile devices that connect with each other across wireless networks and collaborate in a dispersed fashion to offer network functions in the absence of a permanent infrastructure. The Cluster Head (CH) selection in a clustered MANET is still crucial for lowering each node's energy consumption and increasing the network's lifetime. However, in existing clustering mechanism trust of the all nodes are presumed those causes increased challenge in the MANET environment. Security is a crucial factor when constructing ad-hoc networks. In a MANET, energy consumption in route optimization is dependent on network resilience and connectivity. The primary objective of this study is to design a reliable clustering mechanism for MANETs that takes energy efficiency into account. For trusted energy-efficient CH in the nodes, a safe clustering strategy integrating energy-efficient and fuzzy logic based energy clustering is proposed to address security problems brought about by malicious nodes and to pick a trustworthy node as CH. To improve the problem findings Bat algorithm (BAT) is integrated with Particle Swarm Optimization (PSO). The PSO technique is inspired because it imitates the sociological characteristics of the flock of the birds through random population. The BAT is a metaheuristic algorithm inspired by microbat echolocation behavior that uses pulse average with global optimization of the average path in the network. Hybrid Particle Swarm Optimization (HPSO) and BAT techniques are applied to identify the best route between the source and destination. According to the simulation results, the suggested Fuzzy logic Particle Swarm Optimization BAT (FLPSO-BAT) technique has a minimum latency of 0.0019 milliseconds, with energy consumption value of 0.09 millijoules, maximal throughput of 0.76 bits per sec and detection rate of 90.5% without packet dropping attack.

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Section: A) Cluster Head Election Processmentioning

confidence: 99%

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

Prasad¹,

Vuyyuru²,

Sushma³

et al. 2022

IJRITCC

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“…In Synchronous mode, nodes will be in dynamic or static mode dependent on the exchange made inside a frame. Synchronous protocols were clarified in [16][17][18]. In asynchronous mode, preface testing procedures are utilized to intermittently awaken nodes for a short term as clarified in [19][20].…”

Section: Ecc Based Multicastingmentioning

confidence: 99%

“…Thus, sensors utilize diverse key administration strategies for securing a communication. In recently created key management schemes, Researchers proposed different plans such as the bilinear matching in "Dynamic Key Management" (DKM), key administration based on jobs, "Identity Based Key Management" (IBKM), "Random Seed Distribution with Transitory Master Key" (RSDTMK), irregular key circulation [11][12][13][14][15][16].…”

Section: Key Management In Multicast Communicationmentioning

confidence: 99%

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Certificateless Effective Key Management Protocol (CL-EKM) Authentication for Multicast IoT Sensor Network

Manjula¹,

Bagavathipriya²

2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

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IoT has a huge issue of security and protection because of its dynamic and heterogeneous nature. In the IoT environment, authentication is one of the most testing security prerequisites. Because a client can straightforwardly access data from the devices, given the mutual validation among client and device occurs. The research includes a CL-EKM and verified key establishment scheme has been proposed for secure communication in the IoT environment. Proposed system utilizing a multicast verification procedure which improves the adaptability of CL-EKM by empowering a delivery message from BS to an enormous cluster head hub with an acceptable delay and cost. Also, the proposed framework is contrasted with the current unicast and broadcast strategies which would cause a serious negative effect on the performance when a network size increases or when quantity of data to be communicated for a time given is enormous. The proposed results examined for security and is additionally implemented utilizing a simulator.

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“…In ref. [17], they designed a fuzzy logic scheme and proposed a clustering algorithm for cluster-head selection using fuzzy inference system (FIS) depend on remaining energy and RSSI to reduce energy consumption and prolong nodes lifetime. The proposed algorithm is compared with protocol LEACH.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Approach for Cluster-Head Election in Wireless Sensor Network

Abbas¹,

Khanjar

2019

IJERAT

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Wireless Sensor Network (WSN) consists of small battery-powered sensor nodes with limited energy resources, with sensing, computation, and communications capabilities. One of the crucial issues in WSN is energy consumption thus, poor energy efficient routing. The lifetime of the entire network depending on the energy efficiency of the sensor network which finally requires an energy-efficient routing protocol. This paper provides energy-efficient routing by using a fuzzy logic approach in the clusterhead selection process that provides a completely non-probabilistic approach in order to balance the energy consumption of nodes and prolong the WSN lifetime. This approach uses three fuzzy variables: Residual energy of the nodes, distance to Base station and distance to the cluster-head. Simulations results show that the proposed algorithm improves energy consumption and significantly prolong the network lifetime in wireless sensor networks when compared with LEACH protocol.

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Energy and RSSI based fuzzy inference system for cluster head selection in wireless sensor networks

Cited by 7 publications

References 11 publications

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment

Certificateless Effective Key Management Protocol (CL-EKM) Authentication for Multicast IoT Sensor Network

Fuzzy Logic Approach for Cluster-Head Election in Wireless Sensor Network

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