A Trust Based Secure Intelligent Opportunistic Routing Protocol for Wireless Sensor Networks

Bangotra, Deep Kumar; Singh, Yashwant; Selwal, Arvind; Kumar, Nagesh; Singh, Pradeep

doi:10.1007/s11277-021-08564-3

Cited by 31 publications

(15 citation statements)

References 39 publications

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“…TBSIOP [ 12 ] utilizes three distinct WSN attributes to compute a node’s likelihood of being malicious. These attributes are in energy depletion, acknowledgment, and forwarding data packets, and these attributes are used for trust computation.…”

Section: Related Workmentioning

confidence: 99%

Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networks

Keum

2022

Sensors

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Mission-critical wireless sensor networks require a trustworthy and punctual routing protocol to ensure the worst-case end-to-end delay and reliability when transmitting mission-critical data collected by various sensors to gateways. In particular, the trustworthiness of mission-critical data must be guaranteed for decision-making and secure communications. However, it is a challenging issue to meet the requirement of both reliability and QoS in sensor networking environments where cyber-attacks may frequently occur and a lot of mission-critical data is generated. This study proposes a trust-based routing protocol that learns the trust elements using Q-learning to detect various attacks and ensure network performance. The proposed mechanism ensures the prompt detection of cyber threats that may occur in a mission-critical wireless sensor network and guarantees the trustworthy transfer of mission-critical sensor data. This paper introduces a distributed transmission technology that prioritizes the trustworthiness of mission-critical data through Q-learning results considering trustworthiness, QoS, and energy factors. It is a technology suitable for mission-critical wireless sensor network operational environments and can reliably operate resource-constrained devices. We implemented and performed a comprehensive evaluation of our scheme using the OPNET simulator. In addition, we measured packet delivery rates, throughput, survivability, and delay considering the characteristics of mission-critical sensor networks. The simulation results show an enhanced performance when compared with other mechanisms.

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Section: Related Workmentioning

confidence: 99%

Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networks

Keum

2022

Sensors

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“…Otherwise, the node cannot join the network. The author in [ 25 ] studied a trust-based secure intelligent opportunistic routing protocol to avoid the gray and black-hole attack in the wireless sensor networks. However, these works [ 22 , 23 , 24 , 25 ] proposed secure routing that did not focus on sinkhole attack in VANET.…”

Section: Related Work and Motivationsmentioning

confidence: 99%

“…The author in [ 25 ] studied a trust-based secure intelligent opportunistic routing protocol to avoid the gray and black-hole attack in the wireless sensor networks. However, these works [ 22 , 23 , 24 , 25 ] proposed secure routing that did not focus on sinkhole attack in VANET. The authors in [ 26 ] addressed the method of speed adaptive beacon broadcast (SABB) to propagate information in urban and highway environments.…”

Section: Related Work and Motivationsmentioning

confidence: 99%

A Hybrid Price Auction-Based Secure Routing Protocol Using Advanced Speed and Cosine Similarity-Based Clustering against Sinkhole Attack in VANETs

Pramitarini

Perdana

Tran

et al. 2022

Sensors

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In ad-hoc vehicle networks (VANETs), the random mobility causes the rapid network topology change, which leads to the challenge of the reliable data transmission. In this paper, we propose a hybrid-price auction-based secure routing (HPA-SR) protocol using advanced speed and cosine similarity-based (ASCS) clustering to establish a secure route to avoid sinkhole attacks and improve connectivity between nodes. The main features and contributions of the proposed HPA-SR protocol are as follows. First, the HPA-SR protocol is employed by the first- and second-price auctions to avoid sinkhole attacks. More specifically, using the Markov decision process (MDP), each node can select a kind of auction method to establish the secure route by avoiding the sinkhole attack. Second, the advanced speed cosine similarity clustering protocol that is considered as underlying structure is presented to improve the connectivity between nodes. The ASCS is constructed based on the cosine similarity and distance between nodes using the speed and direction of the nodes. The results of the performance show that the proposed HPA-SR protocol can establish the secure route avoiding the sinkhole attack while the proposed ASCS clustering can support the strong connectivity. Besides, the HPA-SR with ASCS protocol can show better performance than the benchmark protocol in terms of the routing delay, packet loss ratio, number of packet loss, and control overhead.

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“…In addition, the researchers also proposed the opportunistic routing protocol based on the iterative method, such as: LCOR [33], OAPF [34], and BitSOR [35] etc. The forwarding process is divided into two stages in these protocols: one is the transmission process of the current node forwarding to the candidate forwarding node, and the other is the transmission process of the candidate forwarding node forwarding to the target node [36][37][38].…”

Section: Related Workmentioning

confidence: 99%

Low Energy Consumption Routing Protocol for Oil and Gas Pipeline Internet of Things

Miao

Liu

et al. 2022

Preprint

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For ensuring effective monitoring oil and gas pipelines deployed in the field or arears with poor environment, the wireless sensor network with flexibility, scalability and ease installation has become the basis of the Oil and Gas Pipeline Internet of Things (OGP-IoT). The energy limitation of sensor nodes is the key factor to restrict the performance of OGP-IoT. In addition, the end-to-end delay of the network determines the response time of OGP-IoT to pipeline accidents. It is also the key parameter to improve the real-time performance of OGP-IoT. For solving the problems of energy limitation and end-to-end delay, the Pipeline Internet of Things—Low Energy Consumption Routing Protocol (PIoT-LERP) is proposed in the paper. It can realize the energy balance of the Internet of Things by taking the remaining energy of nodes and the distance between nodes and aggregation nodes as the index of selecting candidate forwarding nodes. So, the life of network is extended and the end-to-end delay of the network is reduced by decreasing the number of data transmission hops. The simulation results show that PIoTLERP can effectively improve the network performance by extending the network life and reducing the network delay comparing with the classical opportunistic routing protocols ExOR and RE-OR.

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A Trust Based Secure Intelligent Opportunistic Routing Protocol for Wireless Sensor Networks

Cited by 31 publications

References 39 publications

Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networks

Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networks

A Hybrid Price Auction-Based Secure Routing Protocol Using Advanced Speed and Cosine Similarity-Based Clustering against Sinkhole Attack in VANETs

Low Energy Consumption Routing Protocol for Oil and Gas Pipeline Internet of Things

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