A Three Layered Peer-to-Peer Energy Efficient Protocol for Reliable and Secure Data Transmission in EAACK MANETs

Jayaraman, Sathiamoorthy; Bhagavathiperumal, Ramakrishnan; Mohanakrishnan, Usha

doi:10.1007/s11277-018-5835-x

Cited by 19 publications

(4 citation statements)

References 25 publications

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“…This study [24] developed a three-layered framework to reduce packet dropping during data transmission. It ensures the packet delivery and reduces energy consumption fuzzy-logic-based clustering and subcluster the most trusted notes.…”

Section: Related Workmentioning

confidence: 99%

Rank-Based Energy-Efficient Key Management Routing For Wireless Sensor Network-Based Iot Medical Sensors

Krishnapriya¹,

Prasanna²,

Anbarasu³

2023

Wireless Pers Commun

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The growth in wireless services indicates the importance of wireless networks. Parameters in domains Speci c Wireless Sensor Network (WSN) based applications such as infrastructure, physiological and activity monitoring are using the wireless services. Inactivity monitoring, the home care and hospital care Wireless IoT sensors devices continuously monitor and collect data. So, these devices consume lots of energy. With secure data transmission, the limited energy supply is the central issue in-home care and hospital care applications. This research focuses on restricted-energy utilization while monitoring users' postural activity information in homecare and hospital-care applications using IoT-based WSN devices (sensors). In this research, the Rank Based Energy E cient key management (RBE-EKM) protocol is designed to discover an energy-e cient approach to transfer the sensor's data to the Base Station (BS). Initially, it assigns higher priority to the sensor nodes based on their emergency interrupt signals, and the shared key is allocated foremost to those prioritized nodes. This ranking key method establishes the secure routing path for these sensor nodes by verifying their shared secret key. The shared key-based security scheme is found in this research to prevent the WSN from node compromising attacks. The simulation analysis of the RBE-EKM protocol model shows that real-time data is successfully shared among the group of privileged Base Stations with minimum power consumption, delay, and throughput. Moreover, the experimental result proves that the proposed communication strategy, such as dynamic retransmit or rebroadcast decision control, signi cantly improves the performance of AODV protocol models.

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Section: Related Workmentioning

confidence: 99%

Rank-Based Energy-Efficient Key Management Routing For Wireless Sensor Network-Based Iot Medical Sensors

Krishnapriya¹,

Prasanna²,

Anbarasu³

2023

Wireless Pers Commun

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“…Based on the route discovery scheme, the routing methods are categorized into proactive and reactive method. 44,45…”

Section: Related Workmentioning

confidence: 99%

SecRIP: Secure and reliable intercluster routing protocol for efficient data transmission in flying ad hoc networks

Bhardwaj

Kaur

Vashisht

et al. 2020

Trans Emerging Tel Tech

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Unmanned aerial vehicles (UAVs) come up with eminent opportunities for military and civilian applications. Such opportunities come with unique challenges. The high mobility of UAVs leads to the frequent change in the network topology that results in packet loss or routing path failure, and so on. Moreover, secure routing is one of the most important features while organizing wireless communication among UAVs. To counter these challenges, a secure and reliable routing protocol (SecRIP) for the flying ad hoc network is proposed for efficient and reliable data transfer. This SecRIP works toward the enhancement of the quality of service (QoS) and quality of experience (QoE) metrics. The SecRIP works on two algorithms: (i) a chaotic algae algorithm and (ii) dragonfly algorithm; these algorithm serves the functionality of cluster selection, management, and data transmission in intercluster. The proposed technique is compared with other existing techniques using a network simulator. The results show that the proposed technique is capable of maintaining the higher QoS and the QoE standards and also helps the nodes conserve their power without compromising on the performance. The simulated results show improvement as it decreases the delay incurred in SecRIP is 24%, and routing overhead is 19%, where the PDR of SecRIP is increased by 32% in comparison with existing protocols. In an extreme case, when node density increases, the SecRIP helps to limits the delay to 41%, and the PDR is 28% higher than the other existing protocols. Finally, the result demonstrates that the SecRIP protocol achieves secure and reliable data transmission.

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“…In clustering, each cluster group will elect a leader, known as a cluster head (CH), with privileges to communicate with other CHs in the network. In addition, straight information exchange to BS consumes high energy [6][7][8]. Hence, several researchers proposed an efficient routing protocol to detect the optimal path amid the CHs and BS to decrease energy utilization.…”

Section: Introductionmentioning

confidence: 99%

OGWO-CH: Hybrid Opposition-Based Learning with Gray Wolf Optimization Based Clustering Technique in Wireless Sensor Networks

Ramalingam¹,

Karunanidy²,

Balakrishnan³

et al. 2022

Electronics

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A Wireless Sensor Network (WSN) is a group of autonomous sensors that are distributed geographically. However, sensor nodes in WSNs are battery-powered, and the energy drainage is a significant issue. The clustering approach holds an imperative part in boosting the lifespan of WSNs. This approach gathers the sensors into clusters and selects the cluster heads (CHs). CHs accumulate the information from the cluster members and transfer the data to the base station (BS). Yet, the most challenging task is to select the optimal CHs and thereby to enhance the network lifetime. This article introduces an optimal cluster head selection framework using hybrid opposition-based learning with the gray wolf optimization algorithm. The hybrid technique dynamically trades off between the exploitation and exploration search strategies in selecting the best CHs. In addition, the four different metrics such as energy consumption, minimal distance, node centrality and node degree are utilized. This proposed selection mechanism enhances the network efficiency by selecting the optimal CHs. In addition, the proposed algorithm is experimented on MATLAB (2018a) and validated by different performance metrics such as energy, alive nodes, BS position, and packet delivery ratio. The obtained results of the proposed algorithm exhibit better outcome in terms of more alive nodes per round, maximum number of packets delivery to the BS, improved residual energy and enhanced lifetime. At last, the proposed algorithm has achieved a better lifetime of ≈20%, ≈30% and ≈45% compared to grey wolf optimization (GWO), Artificial bee colony (ABC) and Low-energy adaptive clustering hierarchy (LEACH) techniques.

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A Three Layered Peer-to-Peer Energy Efficient Protocol for Reliable and Secure Data Transmission in EAACK MANETs

Cited by 19 publications

References 25 publications

Rank-Based Energy-Efficient Key Management Routing For Wireless Sensor Network-Based Iot Medical Sensors

Rank-Based Energy-Efficient Key Management Routing For Wireless Sensor Network-Based Iot Medical Sensors

SecRIP: Secure and reliable intercluster routing protocol for efficient data transmission in flying ad hoc networks

OGWO-CH: Hybrid Opposition-Based Learning with Gray Wolf Optimization Based Clustering Technique in Wireless Sensor Networks

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