<i>SEC</i>
                  <sup>2</sup>: A Secure and Energy Efficient Barrier Coverage Scheduling for WSN-Based IoT Applications

Thomas, Diya; Shankaran, Rajan; Orgun, Mehmet A.; Mukhopadhyay, Subhas Chandra

doi:10.1109/tgcn.2021.3067606

Cited by 11 publications

(8 citation statements)

References 21 publications

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“…The use of clusters in combination with self-organization and automatic configuration algorithms can overcome diverse challenges in the reliability and security of wireless networks [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. In this sense, the most used clustering protocols are LEACH [ 8 ] and its variants: HEED [ 9 ], PEGASIS [ 10 ], EECS [ 11 ], and TEEN [ 12 ].…”

Section: Related Workmentioning

confidence: 99%

Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks

López-Vilos

Valencia

Souza

et al. 2023

Sensors

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The Internet of Things (IoT) is a key technology to interconnect the real and digital worlds, enabling the development of smart cities and services. The timely collection of data is essential for IoT services. In scenarios such as agriculture, industry, transportation, public safety, and health, wireless sensor networks (WSNs) play a fundamental role in fulfilling this task. However, WSNs are commonly deployed in sensitive and remote environments, thus facing the challenge of jamming attacks. Therefore, these networks need to have the ability to detect such attacks and adopt countermeasures to guarantee connectivity and operation. In this work, we propose a novel clustering-based self-healing strategy to overcome jamming attacks, in which we denominate fairness cooperation with power allocation (FCPA). The proposed strategy, aware of the presence of the jammer, clusters the network and designates a cluster head that acts as a sink node to collect information from its cluster. Then, the most convenient routes to overcome the jamming are identified and the transmit power is adjusted to the minimum value required to guarantee the reliability of each link. Finally, through the weighted use of the relays, the lifetime of each subnetwork is extended. To show the impact of each capability of FCPA, we compare it with multiple benchmarks that only partially possess these capabilities. In the proposal evaluation, we consider a WSN composed of 64 static nodes distributed in a square area. Meanwhile, to assess the impact of the jamming attack, we consider seven different locations of the attacker. All experiments started with each node’s battery full and stopped after one of these batteries was depleted. In these scenarios, FCPA outperforms all other strategies by more than 50% of the information transmitted, due to the efficient use of relay power, through the weighted balance of cooperative routes. On average, FCPA permits 967,961 kb of information transmitted and 63% of residual energy, as energy efficiency, from all the analyzed scenarios. Additionally, the proposed clustering-based self-healing strategy adapts to the change of jammer location, outperforming the rest of the strategies in terms of information transmitted and energy efficiency in all evaluated scenarios.

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Section: Related Workmentioning

confidence: 99%

Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks

López-Vilos

Valencia

Souza

et al. 2023

Sensors

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“…Attribute-based strategies determine CHs depending on various indicators such as remaining energy, distance from base stations, the density of nodes, etc. In the present method, the CHs are elected before the nodes or clusters are deployed [39].…”

Section: Uneven Clustering Characteristicsmentioning

confidence: 99%

An In-depth Analysis of Uneven Clustering Techniques in Wireless Sensor Networks

Zhang¹

2023

IJACSA

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The low-cost and convenient feature of Wireless Sensor Networks (WSNs) has made them popular in many sectors over the last decade. The WSNs are now widely used as a result of recent advancements in low-power communication and being energy-efficient. The WSNs typically use batteries to power sensor nodes. The finite stored energy in batteries and the hassle of battery replacement have led to a critical focus on energy efficiency for WSNs. Clustering and data aggregation are the most efficient methods to address the energy concerns of WSNs. This paper comprehensively reviews several uneven clustering methods and compares the various uneven clustering algorithms. The methods are described in terms of their goals, attributes, categories, advantages and disadvantages. Probabilistic clustering is used when there is a need of simplicity and speed. As a result, this study compared all these types of protocols based on their clustering properties, CHs properties, and on the type of clustering process; and current research gap effective techniques are also addressed.

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“…The evaluation providing by our HSA-ISSA protocol is mainly to improve the overall performance of the network. To analysis the betterment of out protocol it is compared with the earlier research works such as AOMDV [22], TC-SSA [23] and society for peace and conflict management (SPACM) [24]. By using the network simulator-2 (NS-2) simulator the results were made.…”

Section: Simulation Parametersmentioning

confidence: 99%

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

et al. 2022

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During these years the current trends shows a fast expansion in the field of wireless sensor network (WSN) based applications. Due to this much vulnerability are created and also coverage optimization becomes essential to improve overall performance. However, maximum of the model concentrates only on security or efficiency. In order to create a highly efficient protocol both concepts need to get concerted. So, we developed a protocol namely hybrid security in ad-hoc on-demand multipath distance vector (AOMDV) routing protocol with improved salp swarm algorithm (HSA-ISSA). This model is sub-divided into three sections. They are, wormhole attack and gray hole attack construction AOMDV protocol, improved salp swarm algorithm (SSA) model is used for weighted distance position updates which leads to improve the efficiency. And to secure the network from attacks we use hybrid security with the help of Diffie-Hellman key interchange algorithm and elliptic-curve cryptography (ECC) algorithm. During performance evaluation the proposed HS-ISSA protocol provide stable results in terms of message success rate (MSR), end to end delay (E2E_Delay), network throughput (NT), and average energy efficiency (AEE). Our HAS-ISSA protocol outperformed all the other earlier works by providing hybrid security, optimized coverage as well as energy efficiency to the wireless sensor networks.

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SEC ²: A Secure and Energy Efficient Barrier Coverage Scheduling for WSN-Based IoT Applications

Cited by 11 publications

References 21 publications

Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks

Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks

An In-depth Analysis of Uneven Clustering Techniques in Wireless Sensor Networks

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

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SEC 2: A Secure and Energy Efficient Barrier Coverage Scheduling for WSN-Based IoT Applications

Cited by 11 publications

References 21 publications

Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks

Clustering-Based Energy-Efficient Self-Healing Strategy for WSNs under Jamming Attacks

An In-depth Analysis of Uneven Clustering Techniques in Wireless Sensor Networks

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

Contact Info

Product

Resources

About

SEC ²: A Secure and Energy Efficient Barrier Coverage Scheduling for WSN-Based IoT Applications