Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks

Guleria, Kalpna; Verma, Anil Kumar

doi:10.1007/s11276-018-1696-1

Cited by 161 publications

(88 citation statements)

References 54 publications

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“…An energy-aware, void routing concept is blowing out by [15], (EAVARP), in which the author structures the conical shells around the sinking node and the sensor nodes inside such shells dynamically. Where data packets are inside the same shell, residual energy is transmitted that lets every empty area be circumvented if it occurs.…”

Section: Literature Reviewmentioning

confidence: 99%

Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network

Ashraf¹,

Saleem²,

Ahmed³

2020

IJWMT

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Section: Literature Reviewmentioning

confidence: 99%

Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network

Ashraf¹,

Saleem²,

Ahmed³

2020

IJWMT

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“…This approach only groups nodes into two clusters based on the traffic. In many pieces of research, grouping should be dealt with many factors including distance, remaining energy, QoS, and the position of BS [32], [33]. These parameters can enhance the network performance.…”

Section: B Slot Stealing Medium Access Controlmentioning

confidence: 99%

A Survey on Medium Access Control (MAC) for Clustering Wireless Sensor Network

Anhar

Nilavalan

Ujang

2018

2018 2nd International Conference on Electrical Engineering and Informatics (ICon EEI)

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Wireless Sensor Network (WSN) has gained enormous popularity since it is a base of an Internet of Things and applied in many areas of application. However, this network suffers an energy constraint issue which has to be tackled. Medium Access Control (MAC) manages the radio communication of transmitter and receiver, which is the highest energy consumed of sensor nodes. Therefore, many researchers have been proposed new MAC protocols to overcome this limitation. This paper explores and compares several MAC protocols for clustering WSN. Clustering network has a different characteristic since it classifies nodes as Cluster Heads and Cluster Members. This leads to a unique approach in developing MAC to enhance the network's performance.

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“…The hierarchical schemes divide similar nodes based on certain conditions into various clusters [13][14][15][16]. A cluster is a particular region and nodes are bounded to communications with BS through cluster heads.…”

Section: Introductionmentioning

confidence: 99%

EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks

et al. 2020

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In recent times, the field of wireless sensor networks (WSNs) has attained a growing popularity in observing the environment due to its dynamic factors. Sensor data are gathered and forwarded to the base station (BS) through a wireless transmission medium. The data from the BS is further distributed to end-users using the Internet for their post analysis and operations. However, all sensors except the BS have limited constraints in terms of memory, energy and computational resources that degrade the network performance concerning the network lifetime and trustworthy routing. Therefore, improving energy efficiency with reliable and secure transmissions is a valuable debate among researchers for critical applications based on low-powered sensor nodes. In addition, security plays a significant cause to achieve responsible communications among sensors due to their unfixed and variable infrastructures. Keeping in view the above-mentioned issues, this paper presents an energy-aware graph clustering and intelligent routing (EGCIR) using a supervised system for WSNs to balance the energy consumption and load distribution. Moreover, a secure and efficient key distribution in a hierarchy-based mechanism is adopted by the proposed solution to improve the network efficacy in terms of routes and links integrity. The experimental results demonstrated that the EGCIR protocol enhances the network throughput by an average of 14%, packet drop ratio by an average of 50%, energy consumption by an average of 13%, data latency by an average of 30.2% and data breaches by an average of 37.5% than other state-of-the-art protocols.

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Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks

Cited by 161 publications

References 54 publications

Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network

Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network

A Survey on Medium Access Control (MAC) for Clustering Wireless Sensor Network

EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks

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