Lifetime-Maximized Strong Barrier Coverage of 3D Camera Sensor Networks

Hong, Yong-Geun; Luo, Chuanwen; Li, Deying; Chen, Zhibo; Xi-yun, Wang

doi:10.1155/2022/2659901

Cited by 4 publications

(1 citation statement)

References 21 publications

(27 reference statements)

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“…They proposed a Modified Maximum Flow Algorithm (MMFA) using heterogeneous wireless turnable camera sensor networks. Hong et al [24] have recently studied the problem of strong barrier coverage in 3D camera sensor networks, which aim to monitor intruders in irregular spaces with high resolution and maximize the network lifetime.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Barrier Coverage in Surveillance Applications Through Hybrid Directional Sensor Networks

Bendimerad,

Boumedjout,

Bot

2024

IJSSE

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Directional sensor networks (DSNs) have possibility to provide more precise surveillance than conventional omni-directional sensor networks since the captured data can be of a visual nature. Therefore, the coverage problem in DSNs is completely different from that of traditional scalar sensors. Barrier coverage is a specific type of coverage that is emerged in DSNs to ensure a high-level monitoring application. In this paper, we focus on solving the barrier coverage problem in hybrid DSNs using stationary and mobile directional sensors. Our aim is to ensure a high barrier coverage specially developed for surveillance applications by proposing two approaches. In the first one, we implement a distributed algorithm based on a geometric mathematical model to calculate the new orientation of directional sensors to maximize barrier coverage. The purpose of using a geometric mathematical model is to compute, after a random deployment, the most appropriate angle of rotation for each directional sensor so that the novel DSN configuration ensures a high level of intrusion detection across the barrier. In the second one, we enhance the first approach by extending its algorithm to further improve barrier coverage using mobile directional sensors deployed far from the barrier. This solution allows us to achieve a strong barrier coverage with a minimum number of active directional sensors. Extensive simulation experiments with different scenarios are conducted to show the effectiveness of the proposed algorithms in hybrid DSNs, such as those varying the number of stationary and mobile directional sensors with different angles of view.

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Section: Related Workmentioning

confidence: 99%

Enhancing Barrier Coverage in Surveillance Applications Through Hybrid Directional Sensor Networks

Bendimerad,

Boumedjout,

Bot

2024

IJSSE

View full text Add to dashboard Cite

show abstract

Probabilistic intrusion detection based on an optimal strong K-barrier strategy in WSNs

Boualem,

De Runz,

Ayaida

et al. 2024

Peer-to-Peer Netw. Appl.

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Sleep-wakeup scheduling algorithm for lifespan maximization of directional sensor networks: a discrete cuckoo search optimization algorithm

Mortazavi

Shirvani

Amir

2023

Complex Intell. Syst.

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Directional sensor networks (DSNs) are ad-hoc networks which are utilized in different industrial applications. Their usual engagements are to monitor and to perform the coverage of all specific targets in the observing fields permanently. These kinds of networks include numerous configurable directional sensors in which they can be utilized in one of the possible directions along with the one of their adjustable ranges. Although the energy harvesting methodology is being applied for these battery-hungry applications, the battery management and network lifetime maximization are still prominent challenges. In this paper, the network lifetime extension is formulated to a discrete optimization problem which is a famous non-deterministic polynomial time hardness (NP-Hard) problem. To solve this combinatorial problem, a discrete cuckoo search algorithm (D-CSA) is designed and is called in several rounds. A cover is a sub set of configured sensors capable of monitoring all targets in the observing field. In each round, the most efficient cover is constituted along with its activation time. In the determined activation time, the sensors in the cover are scheduled in wakeup mode whereas others are set in sleep mode to save energy. Despite other meta-heuristic algorithms, this proposed algorithm utilizes the novel defined discrete walking around procedures that makes to reach a good balance between exploration and exploitation in this complex search space. The proposed algorithm has been tested in different scenarios to be evaluated. The simulation results in the variety circumstances prove the superiority of the proposed algorithm is about 20.29%, 19.55%, 14.40%, 14.51%, 7.70% and 8.03% in term of average lifespan improvement against H-MNLAR, Hm-LifMax-BC, GA, ACOSC, H-GATS, and HDPSO algorithms, respectively. The results also show the high potential scalability of the proposed algorithm.

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Lifetime-Maximized Strong Barrier Coverage of 3D Camera Sensor Networks

Cited by 4 publications

References 21 publications

Enhancing Barrier Coverage in Surveillance Applications Through Hybrid Directional Sensor Networks

Enhancing Barrier Coverage in Surveillance Applications Through Hybrid Directional Sensor Networks

Probabilistic intrusion detection based on an optimal strong K-barrier strategy in WSNs

Sleep-wakeup scheduling algorithm for lifespan maximization of directional sensor networks: a discrete cuckoo search optimization algorithm

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