Energy Efficient Wireless Sensor Networks based on Clustering Techniques

Kaur, Kiranjit; Waraich, Sandeep

doi:10.5120/21109-3880

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…On this basis, the topology-based invulnerability indexes come into being. These indexes apply network connectivity as the object, adjacency matrix as the source of feature extraction, graph theory and probability statistics as theoretical means to compute invulnerability more comprehensively [ 24 , 25 ]. For instance, Chvatalz introduced the graph toughness to assess the invulnerability performance of WSNs [ 26 ].…”

Section: Related Workmentioning

confidence: 99%

IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns

Wang

Zhang²,

et al. 2022

Sensors

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Energy limitation is one of the intrinsic shortcomings of wireless sensor networks (WSNs), although it has been widely applied in disaster response, battlefield surveillance, wildfire monitoring, radioactivity detection, etc. Due to the large amount of energy consumed for data transmission, how to prolong the network lifespan by designing various hierarchical routing protocols has attracted more and more attention. As a result, numerous achievements have emerged successively. However, these presented mechanisms can rarely guarantee the satisfactory quality of service (QoS), while lowering the energy cost level of WSNs. Meanwhile, invulnerability is undoubtedly an excellent quantitative index to assess QoS. Therefore, it is critical to develop a practical routing method to optimize network lifetime by considering both invulnerability and energy efficiency. Game theory is suitable for such a critical problem as it can be used in node or at network level to encourage the decision-making capabilities of WSNs. In this paper, a novel invulnerability-aware clustering routing algorithm (IACRA) using game-theoretic method is proposed to solve the predicament. The core features of the addressed game-theory-based routing protocol include integral invulnerability awareness, optimal cluster head selection in hierarchical routing, distance-aware cluster head discovery, and cluster rotation update mechanism for lifetime optimization. Particularly, the integral network invulnerability based on weighted fusion is constructed for further defining the profit model by combining the invulnerability indicators used to evaluate the local and whole network. Meanwhile, the optimal probability function of every node elected as CH in per cluster is established through the game between invulnerability and node energy consumption. In addition, the cluster update mechanism base on cluster rotation is proposed to avoid the rapid death of nodes with large energy consumption for maximizing network lifetime. The experimental results indicated a significant improvement in energy balance as well as in invulnerability compared with the other three kinds of well-known clustering routing protocols including GEEC (Game-theory-based energy efficient clustering routing protocol), HGTD (Hybrid, game-theory-based distributed clustering protocol), and EEGC (Efficient energy-aware and game-theory-based clustering protocol). Concretely, at the 400 communication rounds, the invulnerability of IACRA was higher than that of GEEC, HGTD, and EEGC by 77.56%, 29.45% and 15.90%, respectively, and the average residual energy of IACRA was 8.61%, 18.35% and 6.36% larger than that of GEEC, HGTD, and EEGC, respectively. Based on these results, the proposed protocol can be utilized to increase the capability of WSNs against deterioration of QoS and energy constraints.

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Section: Related Workmentioning

confidence: 99%

IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns

Wang

Zhang²,

et al. 2022

Sensors

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“…11 Various techniques for improving the energy efficiency of the network have been compared, and the clustering operation guarantees for the minimum power utilization. 12 Bicen et al 13 introduce the delay-sensitive data transport protocols in cognitive radio networks. It investigates the varied spectrum environment and provides a design in cognitive radio networks.…”

Section: Introductionmentioning

confidence: 99%

Optimal selection based K‐mean clustering technique to improve the energy efficiency in cognitive radio networks for 6G applications

Rajavel¹,

Aruna²,

Rajakumar³

2021

Int J Communication

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The main objective of the cognitive radio sensor network (CRSN) is to minimize the energy consumption in channel sensing and switching when sensor nodes sense and switch to a licensed channel for improving the energy efficiency for 6G applications. The drawback in CRSN is that the sensor network uses a higher amount of energy by intrabunch and interbunch of data emission energetic medium ingression assignment problem when the sensor nodes sense the channel. In this brief, a K-mean clustering technique (KMCT) is proposed for CRSN to minimize the energy used by the sensor nodes in CRSN for 6G applications. The KMCT-based joint power medium ingression technique (JPMIT) is introduced for enhancing the energy efficiency in a bunch of interdata emissions, and the KMCT-based energetic medium ingression technique (EMIT) is introduced for minimizing the energy utilization in a bunch of intradata emissions. Simulation results show that the proposed KMCT for CRSN provides a better result compared with existing techniques. The performance parameters such as medium available duration, data loss rate, quantity of data, number of authorized mediums, and probability of false alarm have been analyzed using MATLAB R2012a.

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Secure Multicast Routing for Wireless Sensor Networks using ACO-AODV with DHKE Cryptosystem

Sreevidya¹,

Nagaraja²

2018

2018 Second International Conference on Computing Methodologies and Communication (ICCMC)

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Energy Efficient Wireless Sensor Networks based on Clustering Techniques

Cited by 4 publications

References 10 publications

IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns

IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns

Optimal selection based K‐mean clustering technique to improve the energy efficiency in cognitive radio networks for 6G applications

Secure Multicast Routing for Wireless Sensor Networks using ACO-AODV with DHKE Cryptosystem

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