Energy-efficient cluster head selection through relay approach for WSN

Rathore, Pramod Singh; Chatterjee, Jyotir Moy; Kumar, Abhishek; Sujatha, R.

doi:10.1007/s11227-020-03593-4

Cited by 91 publications

(13 citation statements)

References 41 publications

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“…Figure 6 shows the overall network throughput of both conventional SPRN, MEDC, 5 and proposed SMO‐CBF‐ADA models. Typically, the network throughput can be estimated by the ratio of how many number of packets that are successfully received at the certain time period.…”

Section: Resultsmentioning

confidence: 99%

“…It includes the applications of security systems, healthcare systems, military field, agricultural monitoring, and disaster management. [3][4][5] Generally, the WSN is constructed with the set of sensor nodes, which cooperates to gather the information about the environment. Also, it is categorized into the types of organized and unorganized structures, in which the sensor nodes are systematized in an organized way.…”

Section: Introductionmentioning

confidence: 99%

“…In the present days, the wireless sensor networks (WSNs) have been increasingly 1,2 used in many application systems due to their benefits of scalability, accelerating speed, reliability and accuracy. It includes the applications of security systems, healthcare systems, military field, agricultural monitoring, and disaster management 3–5 . Generally, the WSN is constructed with the set of sensor nodes, which cooperates to gather the information about the environment.…”

Section: Introductionmentioning

confidence: 99%

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A classy energy efficient spider monkey optimization based clustering and data aggregation models for wireless sensor network

Arunachalam

Vimal

Gomathi³

et al. 2022

Concurrency and Computation

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SUMMARY Establishment of energy efficient and reliable data routing in wireless sensor network (WSN) is one of the most critical and challenging task in the recent days. Also, the overall performance and lifetime of WSN is highly depends on the energy level of sensor nodes, hence it is most essential to save the energy of network. For this purpose, the different types of clustering and data aggregation mechanisms are developed in the conventional works, which are focusing on improving both the energy conservation and lifetime of network. Yet, it facing the challenges of increased computational complexity, inefficient routing of data, high controlling overhead, and reduced reliability. Thus, the proposed work objects to develop a novel energy efficient mechanism by integrating the functionalities of advanced clustering, path selection, and data aggregation methodologies. Here, the spider monkey optimization based energy efficient routing protocol is developed for optimally selecting the cluster head (CH) based on certain parameters of energy, distance, and weight value. In this framework, the data transmission is performed between the source to destination nodes through the relay nodes and CHs, which helps to minimize the energy consumption of network. Then, the Classy Bellman‐Ford algorithm is deployed for identifying the best paths having shortest distance with the sink nodes. Consequently, an anticipated data aggregation mechanism is utilized for ensuring the security and reliability of data transmission in WSN. For evaluation assessment, various performance metrics have been utilized to validate the results of proposed methodology, and also the obtained values are compared with some other recent state‐of‐the‐art models for proving the betterment of proposed mechanism.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A classy energy efficient spider monkey optimization based clustering and data aggregation models for wireless sensor network

Arunachalam

Vimal

Gomathi³

et al. 2022

Concurrency and Computation

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“…Typically, study [38] optimized an IoT network based on cluster head selection by using a modified rider optimization algorithm. Besides, the authors considered a complex cluster head selection as a relay approach for wireless sensor networks based on the shortest path and election to select a cluster head [39]. The cluster head selection operated as a relay is not beneficial for the aerial IoT network.…”

Section: A Motivations and Contributionsmentioning

confidence: 99%

Approaching K-Means for Multiantenna UAV Positioning in Combination With a Max-SIC-Min-Rate Framework to Enable Aerial IoT Networks

2022

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In long-range wireless communication networks, the fading channels described in channel state information are strongly related to distance and the path loss exponent and represent a major challenge in delivering the performance required to support emerging applications. Conveniently, multiple antennas and cooperative relays are efficient solutions that can combat fading channels, thereby improving networking capacity This article has been accepted for publication in IEEE Access.

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“…In general, the WSN routing protocol determines the path among the source node and the base station (i.e., destination node) to transmit the sensed data. The WSN efficiency relies mainly on routing that promptly influences the network lifetime [5]. The significant role of routing protocol involves the enhancement of both network lifetime and reliability by considering the sensor node capability containing various resource constraints namely low communicated bandwidth, limited power as well as slow processor [6].…”

Section: Introductionmentioning

confidence: 99%

Modified Optimization for Efficient Cluster-based Routing Protocol in Wireless Sensor Network

Almasri¹,

Alajlan²

2022

Intelligent Automation &Amp; Soft Computing

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Wireless Sensor Networks (WSN) comprise numerous sensor nodes for monitoring specific areas. Great deals of efforts have been achieved to obtain effective routing approaches using clustering methods. Clustering is considered an effective way to provide a better route for transmitting the data, but cluster head selection and route generation is considered as a complicated task. To manage such complex issues and to enhance network lifetime and energy consumption, an energy-effective cluster-based routing approach is proposed. As the major intention of this paper is to select an optimal cluster head, this paper proposes a modified golden eagle optimization (M-GEO) algorithm to figure out the most significant issue of choosing an optimal cluster head in every cluster. The M-GEO algorithm selects an optimal cluster head among all the sensors by employing diverse factors namely the residual energy, node degree, distance among the nearby sensors, centrality of sensor nodes as well as distance between the cluster head and sink node. Additionally, the yellow saddle goatfish (YSG) optimization algorithm is employed in generatingan optimal routing path from the cluster head to the base station. Also, the YSG optimization algorithm detectsthe shortest routing path thereby minimizing the energy consumption. Then later, the performance analyses for various parameters are performed to evaluate the performance of the proposed approach.

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Energy-efficient cluster head selection through relay approach for WSN

Cited by 91 publications

References 41 publications

A classy energy efficient spider monkey optimization based clustering and data aggregation models for wireless sensor network

A classy energy efficient spider monkey optimization based clustering and data aggregation models for wireless sensor network

Approaching K-Means for Multiantenna UAV Positioning in Combination With a Max-SIC-Min-Rate Framework to Enable Aerial IoT Networks

Modified Optimization for Efficient Cluster-based Routing Protocol in Wireless Sensor Network

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