Design and Evaluation of Algorithms for Energy Efficient and Complete Determination of Critical Nodes for Wireless Sensor Network Reliability

Dağdeviren, Orhan; Akram, Vahid Khalilpour; Tavlı, Bülent

doi:10.1109/tr.2018.2873917

Cited by 32 publications

(30 citation statements)

References 27 publications

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“…In [22], the authors proposed an algorithm for connected p-percent coverage problems in Wireless Sensor Networks (WSNs) to boost overall network life. In this work, they investigate the p-percent coverage problem (PCP) in WSNs that need p-percent of the region to be monitored correctly and to find out any additional criteria for the related ppercent coverage problem.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

PACR: Position-Aware Protocol for Connectivity Restoration in Mobile Sensor Networks

Jadoon

Awan

Khan

et al. 2020

Wireless Communications and Mobile Computing

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Wireless Sensor Networks (WSNs) have gained global attention in recent times due to their vast applications in various fields. These networks can face the disruption of data transmission due to sensor node failures when placed in harsh, inaccessible, and adverse environments such as battlefields or monitoring in enemy territory. The specific tasks performed by the collaboration among the sensor nodes in WSNs by internode connectivity may be terminated. Besides this, due to the failure of sensor nodes, the area covered by the network may be limited, which can cause damage to the objectives for such a network, as there might be an unaware danger in the lost area. Connectivity is a big problem in mobile WSNs due to the mobility of nodes. Researchers have developed a lot of algorithms that are capable enough for connectivity problems, but they do not emphasize the loss of coverage. We try to fill these gaps by proposing the new hybrid algorithm PACR (Position-Aware protocol for Connectivity Restoration). The concept behind PACR is the same as a person who writes his will before death on a deathbed. In the same way, when the sensor energy is below the threshold, it is converted into a recovery coordinator and generates a recovery plan. This accelerates the recovery by decreasing the time needed for failure identification. For the recovery process, the neighbor’s nodes do not travel to the exact position of the failed node. Instead, they just move to the distance where they can build communication links with other nodes. This greatly prolongs the network lifetime. The simulation results show that PACR outperforms other techniques present in the literature.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

PACR: Position-Aware Protocol for Connectivity Restoration in Mobile Sensor Networks

Jadoon

Awan

Khan

et al. 2020

Wireless Communications and Mobile Computing

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“…Dagdeviren O, Akram V K provides two localized distributed algorithms for determining the states of nodes. The first proposed algorithm identifies most of the critical and noncritical dominator nodes from two-hop local subgraph and connected dominating set information [17].…”

Section: Related Workmentioning

confidence: 99%

A novel SMP-based survivability evaluation metric and approach in wireless sensor network

Chen

Zhuang

Shan³

et al. 2019

COMSIS J

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In Industrial Internet of Things (IIoT) device and network, wireless sensor network (WSN) is an important component.Routing protocol is the critical component of WSN. As the WSN may be attacked by all kinds of intruders, the survivability of WSN is important to IIoT security. To precisely evaluate the systematic survivability ability under external attack and internal security mechanism,a novel survivability entropy-based quantitative evaluation metric is proposed to calculate the systematic survivability ability of WSN routing protocol. Numerical analysis and simulation experiments are combined to precisely calculate the survivability entropy metric.To validate the evaluation approach, NS2 (Network simulator) is used to simulate the DoS attack and security mechanism in WSN. Experimental results show that the novel survivability evaluation metric and method can precisely evaluate the systematic survivability ability of WSN.

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“…Wireless sensor networks (WSNs) consists of a plurality of sensor nodes capable of conveying the data they acquire from the environment towards a base station [1]. WSN protocols and algorithms are, typically, designed with very stringent constraints due to their inherent properties like limited resources of energy, storage, computation, and bandwidth [2][3][4]. Linear wireless sensor networks (LWSNs) are under the WSNs' umbrella that is especially used to monitor and control linear structures like roads, bridges, pipelines, tunnels, traffic lights, and similar [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Turkey. 2 Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Gjøvik 2815, Norway. 3 Department of Avionics, Atilim University, Kizilcasar Mahallesi, 06830 Incek Golbasi, Ankara, Turkey.…”

mentioning

confidence: 99%

Optimal operation mode selection for energy-efficient light-weight multi-hop time synchronization in linear wireless sensor networks

Imran

Dalveren

Tavlı

et al. 2020

J Wireless Com Network

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We explored the joint effect of synchronization window and offset/drift mode selection on the time synchronization of linear wireless sensor networks (LWSNs). Recent advances in the field along with the availability of capable hardware led to adoption of LWSNs in diverse areas like monitoring of roads, pipelines, and tunnels. The linear topology applications are susceptible to single point of failure; therefore, energy efficient operation of LWSNs is even more important than the traditional WSNs. To address the challenge, we investigate the time synchronization mode selection for the optimum operation of a multi-hop and low-overhead LWSN. We investigate two modes of synchronization: synchronization by using only offset and synchronization by using offset in addition to the clock drift. Furthermore, we investigate the effects of synchronization window size. Our experimental results reveal that computation of offset alone for smaller window sizes and resynchronization periods is sufficient in achieving acceptable degree of synchronization.

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Design and Evaluation of Algorithms for Energy Efficient and Complete Determination of Critical Nodes for Wireless Sensor Network Reliability

Cited by 32 publications

References 27 publications

PACR: Position-Aware Protocol for Connectivity Restoration in Mobile Sensor Networks

PACR: Position-Aware Protocol for Connectivity Restoration in Mobile Sensor Networks

A novel SMP-based survivability evaluation metric and approach in wireless sensor network

Optimal operation mode selection for energy-efficient light-weight multi-hop time synchronization in linear wireless sensor networks

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