Security Issues and Comparative Analysis of Security Protocols in Wireless Sensor Networks A Review

Nuristani, A.K.; Thakur, Jawahar

doi:10.26438/ijcse/v6i10.436444

Cited by 5 publications

(3 citation statements)

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“…Most of the work on the MAC protocols focuses primarily on the energy efficiency in the sensor networks. However, still a lot of work has to be done in the other areas at the MAC layer such as: Sensor Network Security [28], Nodes Mobility [29], Evaluation on Real Sensor Platforms, Real Time Systems [30], Underground WSN, Underwater WSN and Multi-media WSN [31].…”

Section: Discussionmentioning

confidence: 99%

Energy-efficient MAC protocols for wireless sensor networks: a survey

Djimli¹,

Merniz²,

Harous

2019

TELKOMNIKA

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MAC Protocols enables sensor nodes of the same WSN to access a common shared communication channel. Many researchers have proposed different solutions explaining how to design and implement these protocols. The main goal of most MACs protocols is how to prolong lifetime of the WSN as long as possible by reducing energy consumption since it is often impossible to change or to recharge sensors' batteries. The majority of these protocols designed for WSN are based on "duty-cycle" technique. Every node of the WSN operates on two periods: active period and sleep period to save energy. Until now (to our knowledge) there is no ideal protocol for this purpose. The main reason relies on the lack of standardization at lower layers (physical layer) and (physical) sensor hardware. Therefore, the MAC protocol choice remains application-dependent. A useful MAC protocol should be able to adapt to network changes (topology, nodes density and network size). This paper surveys MAC protocols for WSNs and discusses the main characteristics, advantages and disadvantages of currently popular protocols.

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Section: Discussionmentioning

confidence: 99%

Energy-efficient MAC protocols for wireless sensor networks: a survey

Djimli¹,

Merniz²,

Harous

2019

TELKOMNIKA

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“…In the pursuit of enhancing security management systems within Wireless Sensor Network (WSNs) for Big Data, optimization algorithms play a pivotal role. This chapter delves into the utilization of Gray Wolf Optimization (GWO) as a key component in achieving efficient resource allocation, optimizing node placement, and improving data transmission efficiency within the WSN [1]. The mathematical foundation of GWO will be explored in detail to provide a comprehensive understanding of its application in security enhancement.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Gray Wolf Optimization for Enhanced Security Management in Wireless Sensor Network

Surendra Yadav

2023

tjjpt

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In the realm of enhancing security management systems within Wireless Sensor Network (WSNs) for Big Data applications, the role of optimization algorithms is pivotal. This chapter delves into the utilization of Gray Wolf Optimization (GWO) as a fundamental tool to achieve efficient resource allocation, node placement optimization, and the enhancement of data transmission efficiency within WSNs. A detailed exploration of the mathematical foundations of GWO is provided to foster a comprehensive understanding of its application in security enhancement. In this paper Gray Wolf Optimization (GWO) is a nature-inspired metaheuristic algorithm presented that draws inspiration from the social behavior of gray wolves in the wild. In our study, GWO is employed to optimize various parameters that significantly impact the efficiency and effectiveness of WSNs.

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“…WSN [1,2,3] is a huge collection of small sensor nodes having the capability of sensing, storing and handling of information. The sensor devices can be considered stress, strain, echo, heat and chemical combination.…”

Section: Introductionmentioning

confidence: 99%

HHOA_NCA – a Harris Hawk Optimization Algorithm (HHOA) on best possible Node Capture Attack (NCA) in Future WSN for Improving the Security of Ubiquitous Computing Intelligent System

Khare,

Gupta,

Shukla

2023

Preprint

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Wireless Sensor Network (WSN) is exceedingly predisposed to quite a lot of complex attacks due to confine resource deployment in big network communiqué vicinity. The adversary initiates a node capture attack to future WSN for snatching the private data from ubiquitous computing intelligent system through confiscating vertices (sensor nodes) for cooperating full network. We develop a Harris Hawk Optimization Algorithm for Node Capture Attack (HHOA_NCA) to identify the vertices in ubiquitous computing having higher seizing chance by attack over future network system. HHOA_NCA applies on function sensor node participation with multi objectives such as sensor node key contribution through links, sensor node contribution, sensor node energy cost, distance between sensor nodes and sensor node velocity. Key contribution is the number of keys utilized by vertices. The contribution of sensor nodes is evaluated as the association among all paths and vertices. Sensor node energy cost is obtained on the basis of energy expenditure for packet transmission through vertices over WSN. The distance between two sensor nodes is evaluated using neighbourhood degree. The velocity is measured by the stability time of a sensor node. Simulation is performed in MATLAB 2019a environment and experimental outcomes represent the greater performance of HHOA_NCA based on compromised traffic fraction, power utilization cost, attacking rounds and complexity over future WSN. The results of simulation for ubiquitous computing show that the HHOA_NCA obtains better results than MA, PCA, FGA, MREA, GA, ACO, PSO, FiRAO-PG and FFOA for single and multipath routing based on all performance factors over future network system.

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Security Issues and Comparative Analysis of Security Protocols in Wireless Sensor Networks A Review

Cited by 5 publications

References 0 publications

Energy-efficient MAC protocols for wireless sensor networks: a survey

Energy-efficient MAC protocols for wireless sensor networks: a survey

Leveraging Gray Wolf Optimization for Enhanced Security Management in Wireless Sensor Network

HHOA_NCA – a Harris Hawk Optimization Algorithm (HHOA) on best possible Node Capture Attack (NCA) in Future WSN for Improving the Security of Ubiquitous Computing Intelligent System

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