Delay-Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness

H, Aditya Pai; Almuzaini, Khalid K.; Ali, Liaqat; Javeed, Ashir; Pant, Bhasker; Pareek, Piyush Kumar; Akwafo, Reynah

doi:10.1155/2022/5256133

Cited by 25 publications

(2 citation statements)

References 39 publications

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“…Aditya et al [18] have suggested the Power and Load-Aware Enhanced OR (PLAEOR) protocol based on the opportunistic gradient forwarding strategy. This protocol considers the remaining power, transfer energy, and expected packet delay to select the optimum routes.…”

Section: A Single-rate and Single-power Or Protocolsmentioning

confidence: 99%

Energy-Efficient Multi-Rate Opportunistic Routing in Wireless Mesh Networks

Khah,

Moghim,

Gholami

et al. 2023

IEEE Access

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Opportunistic or anypath routing protocols are focused on improving the performance of traditional routing in wireless mesh networks. They do so by leveraging the broadcast nature of the wireless medium and the spatial diversity of the network. Using a set of neighboring nodes, instead of a single specific node, as the next hop forwarder is a crucial aspect of opportunistic routing protocols, and the selection of the forwarder set plays a vital role in their performance. However, most opportunistic routing protocols consider a single transmission rate and power for the nodes, which limits their potential. To address this limitation, this paper proposes a multi-rate and multi-power opportunistic routing protocol called Energy-efficient Multirate Opportunistic Routing (EMOR). EMOR considers multiple transmission rates and power for each node, and in addition to selecting the forwarder set, it should select the transmission rate and power to reach this set in each node. Using different transmission rates and power levels can enhance EMOR's ability to effectively utilize the spatial diversity of the network. To prioritize the forwarder set, EMOR uses a transmission energy-based routing metric called Expected Opportunistic Transmission Energy (EOTE). EMOR also employs a distributed polynomial algorithm, Multi-rate Multi-power Opportunistic Bellman-Ford (MMOBF), to select the forwarder set, transmission rate, and transmission power in each node, minimizing the cost from the node to the destinations. The simulation results show that EMOR significantly outperforms the multi-rate opportunistic routing and multi-power opportunistic routing in terms of performance metrics such as packet delivery ratio, delay, and energy consumption.

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Section: A Single-rate and Single-power Or Protocolsmentioning

confidence: 99%

Energy-Efficient Multi-Rate Opportunistic Routing in Wireless Mesh Networks

Khah,

Moghim,

Gholami

et al. 2023

IEEE Access

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“…Consequently, the IIoT is vulnerable to a variety of security threats [9] due to the challenges posed by managing and distributing the massive amounts of data generated by interactions between many devices. Due to data attacker's unpredictability, the FDIA stands out as one of the most destructive intrusion networks in the IIoT [10]. As hostile devices authorized in the networks carry out their usual data gathering tasks, detecting a FDIA becomes a non-trivial effort due to the attack's complexity.…”

Section: Introductionmentioning

confidence: 99%

Detecting False Data Injection Attacks in Industrial Internet of Things Using an Optimized Bidirectional Gated Recurrent Unit-Swarm Optimization Algorithm Model

Divya¹,

Vatambeti²

2023

ATAIML

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The rapid adoption of the Industrial Internet of Things (IIoT) paradigm has left systems vulnerable due to insufficient security measures. False data injection attacks (FDIAs) present a significant security concern in IIoT, as they aim to deceive industrial platforms by manipulating sensor readings. Traditional threat detection methods have proven inadequate in addressing FDIAs, and most existing countermeasures overlook the necessity of validating data, particularly in the context of data clustering services. To address this issue, this study proposes an innovative approach for FDIA detection using an optimized bidirectional gated recurrent unit (BiGRU) model, with the Sailfish Optimization Algorithm (SOA) employed to select optimal weights. The proposed model exploits temporal and spatial correlations in sensor data to identify fabricated information and subsequently cleanse the affected data. Evaluation results demonstrate the effectiveness of the proposed method in detecting FDIAs, outperforming state-ofthe-art techniques in the same task. Furthermore, the data cleaning process showcased the ability to recover damaged or corrupted data, providing an additional advantage.

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An IOT-Based Automotive and Intelligent Toll Gate Using RFID

Chandrappa¹,

Kumar³

et al. 2023

SN COMPUT. SCI.

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Delay-Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness

Cited by 25 publications

References 39 publications

Energy-Efficient Multi-Rate Opportunistic Routing in Wireless Mesh Networks

Energy-Efficient Multi-Rate Opportunistic Routing in Wireless Mesh Networks

Detecting False Data Injection Attacks in Industrial Internet of Things Using an Optimized Bidirectional Gated Recurrent Unit-Swarm Optimization Algorithm Model

An IOT-Based Automotive and Intelligent Toll Gate Using RFID

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