An Optimized Routing Algorithm for Enhancing Scalability of Wireless Sensor Network

Barthwal, Neha; Verma, Shashi Kant

doi:10.1007/s11277-020-07978-9

Cited by 7 publications

(5 citation statements)

References 27 publications

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“…At the same time, in some models, by introducing time decay factor to give higher trust value and calculate weight to recent interactive data, on-off attacks can be detected and suppressed to a certain extent. However, with the complexity of attack frequency and attack intensity of malicious nodes, it is necessary to propose a new detection mechanism to deal with this threat [8,9]. Trust management mechanism is becoming more and more popular in the field of wireless sensor network security.…”

Section: Literature Reviewmentioning

confidence: 99%

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

Yuan

2022

Wireless Communications and Mobile Computing

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In order to enhance the ability of wireless sensor networks to resist various security threats and reduce the limitations caused by the characteristics of wireless sensor networks and sensor nodes, this paper proposes a secure routing protocol for wireless sensor networks based on trust management. Combined with the relevant parameters of wireless sensor network, the simulation experiment is carried out with MATLAB. Aiming at the trust management part of the wireless sensor network security protocol proposed in this paper, the malicious attack environment such as sensor node attributes is simulated to verify the resistance of this model to relevant malicious attacks. For the trust management-based wireless sensor network security routing protocol proposed in this paper, the model included in the protocol is compared to the existing security routing model, combining the characteristics of average simulation transmission, network life, and average routing update time. Experiments show that the model has better routing performance and has improved by an average of about 20%. We offer a new solution to solve the problem of wireless routing security.

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Section: Literature Reviewmentioning

confidence: 99%

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

Yuan

2022

Wireless Communications and Mobile Computing

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“…The following equations can be used to calculate the average busy time (T s ) of the channel when the transmission is successful and the average busy time (T c ) of the channel when the transmission is in conflict: (10) where H is the total length of the physical and MAC layer header fields; D IFS is the distributed inter-frame spacing; S IFS is the short inter-frame space; δ is the transmission delay; and E D is the average data frame transmission delay.…”

Section: 3mentioning

confidence: 99%

A network business availability modeling method based on Markov chain

Lü

Chen

Liu

et al. 2022

J Wireless Com Network

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Military tactical networks (MTNs) have grown in size and complexity as the volume of battlefield communications business has increased dramatically. There is a critical need for a quantitative evaluation method to assess the performance of MTNs. Based on the transmission characters of battlefield communication business and the availability of communication equipment, this paper proposed a Markov chain-based network steady-state availability model. Using this model and the analysis of the CSMA/CA transmission protocol as preconditions, a delay-based quantitative evaluation model of network business availability is proposed based on statistical principles. The relationship between network business availability and crucial metrics such as node size and node failure/repair ratio is investigated in simulation experiments to ensure the validity and correctness of the proposed model. The work done in this paper contributes to effectively evaluating the overall availability of MTNs in a complex environment.

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“…They have adopted the methods of channel awareness [ 5 , 6 ], energy consumption awareness [ 7 , 8 , 9 , 10 ], and delay awareness [ 5 , 11 ] to better select transmission channels. Layered [ 9 , 12 ] or clustering [ 12 , 13 , 14 , 15 ] methods have been adopted to divide the underwater network, balance the energy consumption, and extend the network life. Previous studies have endowed the transmission routing with intelligence, so that it can adapt to the changes in the transmission environment; optimize the transmission quality; bypass network holes [ 16 , 17 ]; and realize efficient, reliable, and stable data transmission.…”

Section: Introductionmentioning

confidence: 99%

EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs)

Wang

Ben

Hua

et al. 2022

Sensors

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The underwater wireless sensor network is an important component of the underwater three-dimensional monitoring system. Due to the high bit error rate, high delay, low bandwidth, limited energy, and high dynamic of underwater networks, it is very difficult to realize efficient and reliable data transmission. Therefore, this paper posits that it is not enough to design the routing algorithm only from the perspective of the transmission environment; the comprehensive design of the data transmission algorithm should also be combined with the application. An edge prediction-based adaptive data transmission algorithm (EP-ADTA) is proposed that can dynamically adapt to the needs of underwater monitoring applications and the changes in the transmission environment. EP-ADTA uses the end–edge–cloud architecture to define the underwater wireless sensor networks. The algorithm uses communication nodes as the agents, realizes the monitoring data prediction and compression according to the edge prediction, dynamically selects the transmission route, and controls the data transmission accuracy based on reinforcement learning. The simulation results show that EP-ADTA can meet the accuracy requirements of underwater monitoring applications, dynamically adapt to the changes in the transmission environment, and ensure efficient and reliable data transmission in underwater wireless sensor networks.

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An Optimized Routing Algorithm for Enhancing Scalability of Wireless Sensor Network

Cited by 7 publications

References 27 publications

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

A Secure Routing Protocol for Wireless Sensor Energy Network Based on Trust Management

A network business availability modeling method based on Markov chain

EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs)

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