Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks

Rathee, Manisha; Kumar, Sushil; Gandomi, Amir H.; Kumar, Dilip; Balamurugan, B.; Patan, Rizwan

doi:10.1109/tem.2019.2953889

Cited by 108 publications

(83 citation statements)

References 40 publications

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“…Most of the papers prioritize the following elements in their experiments: task scheduling [96], [123], [124], biometric identification [112], [125], network optimization [60], [126]- [129], and network stability [123], [130], [131]. ACO may be very promising when implemented to single-goal optimization, even though more common GA have somewhat overtaken.…”

Section: Discussion and Potential Remarksmentioning

confidence: 99%

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Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

et al. 2020

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Cloud computing gained much popularity in the recent past due to its many internet-based services related to data, application, operating system, and eliminating the need for central hardware access. Many of the challenges associated with cloud computing can be specified as network load, security intrusion, authentication, biometric identification, and information leakage. Numerous algorithms have been proposed and evaluated to solve those challenges. Among those, bio-inspired algorithms such as Evolutionary, Swarm, Immune, and Neural algorithms are the most prominent ones which are developed based on nature's ecosystems. Bio-inspired algorithms' adaptability allows many researchers and practitioners to utilize them to solve many security-related cloud computing issues. This paper aims to explore previous research, recent studies, challenges, and scope for further analysis of cloud security. Therefore, this study provides an overview of bio-inspired algorithms application and evaluations, taking into account cloud security challenges,

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Section: Discussion and Potential Remarksmentioning

confidence: 99%

“…Most recent works are now aiming to improve the quality service on routing protocols [23], [58], [59]. Rathee et al (2019) [60] proposed an Ant Colony Optimization based WSN system for energy balancing in secure routing. They have considered network lifetime, QoS, and security as the primary factor during the experiment.…”

Section: Protocol and Network Securitymentioning

confidence: 99%

Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

et al. 2020

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“…The node receiving power is the receiving power threshold, c is a constant greater than 1 [18]. Although (8) achieves dynamic adjustment of node transmission power, it does not consider the actual network environment. Therefore, the modified formula is proposed as where, min t P…”

Section: Power Control Algorithm Based On Net-work Trafficmentioning

confidence: 99%

“…In the backoff mechanism, aiming at the unfair problem of node communication existing in the Binary Exponential Backoff (BEB) mechanism [8], [9] proposes an Energy and Content Sensor MAC (EC-SMAC) protocol based on the node residual energy and the number of channel collisions.…”

Section: Introductionmentioning

confidence: 99%

Optimization Method of Adaptive Backoff and Duty Cycle for S-MAC Protocol in Wireless Sensor Networks

Wang

Yang

et al. 2021

IEEE Access

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As a matter of fact that the network traffic has a great influence on the binary exponential backoff mechanism, duty cycle mechanism, and fixed transmission power mechanism adopted by the Sensor Medium Access Control (S-MAC) protocol. The paper proposes an Adaptive Backoff and Duty Cycle for S-MAC protocol (ABDC-SMAC). In the backoff mechanism, considering the failure times of channel competitions, the length of buffer queue, and the node residual energy across the board, a cross-control backoff mechanism is proposed. In the duty cycle mechanism, the network traffic is judged by the average network flow factor. Based on the average network flow factor, the value of duty cycle can change around its initial value. In the power control mechanism, the minimum transmission power can be obtained by the Friis formula. At the same time, the exponential formula following the change of network traffic is selected and multiplied by the minimum transmission formula. The simulation results show that the performance of proposed ABDC-SMAC protocol is improved obviously on energy consumption and transmission delay.

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“…To defend against routing attacks in WSNs, especially internal attacks [37], the security mechanisms based on trust awareness have been verified to be effective. However, the traditional trust management system also has some problems.…”

Section: Introductionmentioning

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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Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks

Cited by 108 publications

References 40 publications

Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

Applications and Evaluations ofBio-InspiredApproaches in Cloud Security: A Review

Optimization Method of Adaptive Backoff and Duty Cycle for S-MAC Protocol in Wireless Sensor Networks

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

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