QoS Aware Trust Based Routing Algorithm for Wireless Sensor Networks

Kalidoss, Thangaramya; Rajasekaran, Logambigai; Kanagasabai, Kulothungan; Ganapathy, Sannasi; Kannan, A.

doi:10.1007/s11277-019-06788-y

Cited by 121 publications

(63 citation statements)

References 38 publications

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“…In this section, the EATMR scheme is evaluated by performing simulations against schemes such as M-CSO [29] and SQEER [21]. We perform extensive experiments and comparisons to demonstrate the effectiveness of EATMR in improving WSNs security.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In addition, ETRES updates trust scores at various rounds to reduce the detrimental effects of malicious nodes. Kalidoss et al (2020) developed the QEER (QoS aware Energy Efficient Routing) protocol and introduced the SQEER (Secured QoS aware Energy Efficient Routing) protocol [21]. QEER considers reliability over QoS and does not focus on security or latency.…”

Section: Literature Reviewmentioning

confidence: 99%

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EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks

Yin

Yang

Hajiee

2021

Preprint

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Rapid developments in radio technology and processors have led to the emergence of small sensor nodes that provide communication over Wireless Sensor Networks (WSNs). The crucial issues in these networks are energy consumption management and reliable data exchange. Due to the limited resources of sensor nodes, WSNs become a vulnerable target against many security attacks. Thus, energy-aware trust-based techniques have become a powerful tool for detecting nodes’ behavior and providing security solutions in WSN. Clustering-based routings are one of the most effective methods in increasing the WSN performance. In this paper, an Energy-Aware Trust algorithm based on the AODV protocol and Multi-path Routing approach (EATMR) is proposed to improve the security of WSNs. EATMR consists of two main phases: firstly, the nodes are clustered based on the Open-Source Development Model Algorithm (ODMA), and then in the second phase, clustering-based routing is applied. In this paper, the routing process follows the AODV protocol and multi-path routes approach with considering energy-aware trust. Here, the optimal and safe route is determined based on various parameters, namely energy, trust, hop-count, and distance. In this regard, we emphasize the evaluation of node trust using direct trust, indirect trust, and a multi-objective function. The simulation has been performed in MATLAB software in the presence of a Denial of Service (DoS) attack. The simulation results show that EATMR performs better than other approaches such as M-CSO and SQEER in terms of successfully detecting malicious nodes and enhancing network lifetime, energy consumption, and packet delivery ratio.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks

Yin

Yang

Hajiee

2021

Preprint

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“…However, TSSRM may cause high network delay and information congestion in large-scale WSNs. Therefore, reference [31] proposes a cluster-based secure routing algorithm, namely secured quality of service (QoS) aware energy efficient routing protocol (SQEER), to reduce network latency. The trust model of the SQEER uses an authentication technology and a key-based security mechanism to provide the trust score.…”

Section: Related Workmentioning

confidence: 99%

Trust Based Secure and Energy Efficient Routing Protocol for Wireless Sensor Networks

Han

Yao

et al. 2022

IEEE Access

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“…As mentioned in [30], several studies have described a signal to noise ratio-based dynamic clustering-based routing system for wireless sensor networks. For the security of routing protocols, the authors used a cluster-based symmetric key cryptography technique.…”

Section: B Related Workmentioning

confidence: 99%

Towards Designing a Trusted Routing Scheme in Wireless Sensor Networks: A New Deep Blockchain Approach

And

Darwish

2021

IEEE Access

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Routing is a critical process in Wireless Sensor Networks (WSNs) since it is responsible for data transmission to base stations. Routing attacks are capable of completely destroying and degrading the function of WSNs. A trustworthy routing system is critical for ensuring routing security and WSN efficiency. Numerous studies have been conducted to increase trust between routing nodes, including cryptographic techniques, and centralized routing decisions. Nonetheless, the majority of routing methods are impractical in practice, since it is difficult to identify untrusted activities of routing nodes effectively. Meanwhile, there is no efficient method of preventing malicious node attacks. As a result of these issues, this article offers a trusted routing method that combines deep-chain and Markov Decision Processes (MDPs) in order to enhance the routing security and efficiency of WSNs. To authenticate the process of transmitting the node, the proposed approach utilizes a Proof of Authority (PoA) method inside the blockchain network. The validation group necessary for proofing is selected using a deep learning methodology that focuses on the properties of each node. MDPs are then used to choose the appropriate next hop as a forwarding node capable of transferring messages simply and securely. According to testing data, our routing system still performs well in a 50% malicious node routing environment when compared to existing routing algorithms.

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QoS Aware Trust Based Routing Algorithm for Wireless Sensor Networks

Cited by 121 publications

References 38 publications

EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks

EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks

Trust Based Secure and Energy Efficient Routing Protocol for Wireless Sensor Networks

Towards Designing a Trusted Routing Scheme in Wireless Sensor Networks: A New Deep Blockchain Approach

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