Full-Coverage and k-Connectivity (k=14,6) Three Dimensional Networks

Bai, Xin; Zhang, C.; Xuan, Dong; Jia, Weijia

doi:10.1109/infcom.2009.5061943

Cited by 67 publications

(49 citation statements)

References 27 publications

(35 reference statements)

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“…After that, more and more researchers focus on putting the wireless sensor network into practice. Some paper discussed the problem in full coverage network mode [10][11][12]. The concept of barrier coverage was first introduced by Gage in the context of robot systems [13].…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient border intrusion detection using wireless sensors network

Yang

et al. 2014

J Wireless Com Network

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Monitoring the illegal movement across national border effectively is a challenging problem. The emerging technology of wireless sensor network (WSN) is expected to provide a new way to realize energy-efficient border intrusion detection. We propose a scheme to measure and guarantee the coverage quality of WSN. We also design a new coverage model for detecting one-direction path. The simulation results shows that the new coverage model could not only detect the intrusion in border area well, but also extend the network lifetime in an efficient way.

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Section: Related Workmentioning

confidence: 99%

Energy-efficient border intrusion detection using wireless sensors network

Yang

et al. 2014

J Wireless Com Network

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“…Zhou et al [5] present two algorithms for discovering boundary nodes and constructing boundary surfaces in 3D wireless networks. Bai et al [6] designed and proved the optimality of one and two connectivity patterns under any value of the ratio of communication range over sensing range, among regular lattice deployment patterns. Slab Routing by Chiang and Peng [7] adapts 2D geographic face routing techniques to 3D space by dynamically creating a space partition and executing face routing over the planar projected graph of nodes contained within.…”

Section: Related Workmentioning

confidence: 99%

Actor positioning based on molecular geometry in aerial sensor networks

Akbaş

Solmaz

Turgut

2012

2012 IEEE International Conference on Communications (ICC)

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Abstract-Advances in unmanned aerial vehicle (UAV) technology and wireless sensor and actor networks (WSAN) made it possible to equip small UAVs with sensors and deploy aerial sensor and actor networks. Aerial sensor networks enable high quality observation of events while reducing the number of requirements. Positioning of UAVs with actor nodes is critical in these systems for effective data collection.In this paper we propose an actor positioning strategy for aerial WSANs considering the scenario of toxic plume observation after a volcanic eruption. The positioning algorithm utilizes the Valence Shell Electron Pair Repulsion (VSEPR) theory of chemistry, which is based on the correlation between molecular geometry and the number of atoms in a molecule. The limitations of the basic VSEPR theory are eliminated by extending the approach for multiple central data collectors. The simulations show that the proposed system provides high connectivity and coverage for the aerial sensor network.

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“…However, this protocol configures a network using centred control algorithm which limits the network scale, and at present most of the literatures 2 International Journal of Distributed Sensor Networks have not introduced this probability coverage model into three-dimensional sensor networks. In fact, most practical applied wireless sensor networks are deposited in threedimensional sensor networks so that it will be more accurate if it is simulated in a three-dimensional space [12,13]. In [12], Bai et al proposed and designed a series of connected coverage models in three-dimensional wireless sensor networks with low connectivity and full coverage.…”

Section: Introductionmentioning

confidence: 99%

Probability Model Based Coverage-Enhancing Algorithm for WSNs of Nodes' Adjustable Movement Pattern

Huang

Sun

et al. 2012

International Journal of Distributed Sensor Networks

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Aimed at the defects of current coverage-enhancing algorithms, firstly the probability model is introduced into the coverageenhancing algorithm of the directional sensor network based on the virtual potential field, and the probability model would have an impact on the location of the centroid. Secondly, to the boundary coverage, through the simulation of typical algorithms which consider the boundary repulsion, it finds that the coverage rates of the corners are much lower than the overall coverage. To add a vertex force on the corner is essential and to some extent would reduce the gap between them. Finally, based on the random deployment of sensor nodes, a novel algorithm is proposed which determines whether the sensor node rotates or moves along fixed direction according to the coverage effect, named as PRMCA (probability model based rotate or move along fixed direction coverage-enhancing algorithm). A set of simulation experiments verify the performance of the proposed algorithm.

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Full-Coverage and k-Connectivity (k=14,6) Three Dimensional Networks

Cited by 67 publications

References 27 publications

Energy-efficient border intrusion detection using wireless sensors network

Energy-efficient border intrusion detection using wireless sensors network

Actor positioning based on molecular geometry in aerial sensor networks

Probability Model Based Coverage-Enhancing Algorithm for WSNs of Nodes' Adjustable Movement Pattern

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