An Energy Efficient Clustered Routing Protocols for Wireless Sensor Networks

Mittal, Nitin; Srivastava, Rajshree

doi:10.1007/978-3-030-32644-9_38

Cited by 5 publications

(2 citation statements)

References 46 publications

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“…Most of the early routing protocols developed for wireless sensor networks are based on data communication via network flooding or direct broadcast. This implies that all nodes that receive a packet must repeat the sending to their neighbors over the wireless medium [ 11 ]. A possible problem of wasted resources is when the nodes are very close to each other, in which case their coverage areas overlap, and the information they capture is redundant.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

Del-Valle-Soto

Mex-Perera

Nolazco-Flores

et al. 2021

Sensors

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Wireless Sensor Networks constitute an important part of the Internet of Things, and in a similar way to other wireless technologies, seek competitiveness concerning savings in energy consumption and information availability. These devices (sensors) are typically battery operated and distributed throughout a scenario of particular interest. However, they are prone to interference attacks which we know as jamming. The detection of anomalous behavior in the network is a subject of study where the routing protocol and the nodes increase power consumption, which is detrimental to the network’s performance. In this work, a simple jamming detection algorithm is proposed based on an exhaustive study of performance metrics related to the routing protocol and a significant impact on node energy. With this approach, the proposed algorithm detects areas of affected nodes with minimal energy expenditure. Detection is evaluated for four known cluster-based protocols: PEGASIS, TEEN, LEACH, and HPAR. The experiments analyze the protocols’ performance through the metrics chosen for a jamming detection algorithm. Finally, we conducted real experimentation with the best performing wireless protocols currently used, such as Zigbee and LoRa.

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Section: Introductionmentioning

confidence: 99%

A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

Del-Valle-Soto

Mex-Perera

Nolazco-Flores

et al. 2021

Sensors

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“…The cluster-based protocols are responsible for adapting each stage of clustering architecture. 10,11 LEACH 12 is one of the most basic and traditional clustering protocols. It uses the probabilistic and random approach for the selection of CH.…”

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confidence: 99%

Design of a novel degree load‐balanced and fuzzy ant colony optimization protocol for optimizing the clustering architecture in WSN

Juneja

2021

Int J Communication

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A sensor network is a situation-based critical network defined under certain restrictions and constraints. The clustered architecture is defined over these networks to utilize the criticality vectors and to improve network communication. In this paper, a degree load-balanced and fuzzy-ACO (DLB-fACO) protocol is proposed for optimizing the clustered architecture. In this architecture, the load analysis is performed while forming the clusters. The cluster head selection is performed based on energy, cluster density, and probability vector. The node degree-and energy-balanced analysis is performed for identifying the cluster members. Once the clusters are formed, the ACO approach is applied to perform the cluster-based hierarchical routing. Communication is performed at two levels. In the first level, node-to-cluster head communication is performed by considering energy and degree consideration. In the second level, the fuzzy-integrated ACO method is applied for inter-cluster route formation. The route optimization is here performed under fuzzy-based energy, degree, and distance parameters. These fuzzy parameters are evaluated within the ACO algorithm for generating the optimized route. The proposed loadbalanced protocol is analyzed against the LEACH, LEACH-C, LEACH-CC, M-LEACH, Fuzzy-PSO, Fuzzy-ACO, Fuzzy-Cuckoo, and FMCB-ER protocols.The experimentation results confirm the significant gain in network lifetime and packet communication. The cluster count, clustering switching, and communication failure are also reduced in comparison with existing conventional and optimized protocols.

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An Extended Clustering Approach for Extended Energy Aware Computing

Garg,

Patel

2023

Wireless Pers Commun

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An Energy Efficient Clustered Routing Protocols for Wireless Sensor Networks

Cited by 5 publications

References 46 publications

A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

Design of a novel degree load‐balanced and fuzzy ant colony optimization protocol for optimizing the clustering architecture in WSN

An Extended Clustering Approach for Extended Energy Aware Computing

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