Coverage in mobile wireless sensor networks (M-WSN): A survey

Mohamed, Shaimaa M.; Hamza, Haitham S.; Saroit, Iman. A.

doi:10.1016/j.comcom.2017.06.010

Cited by 134 publications

(65 citation statements)

References 47 publications

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“…In other words, mobility allows the sensor nodes to be able to change their locations after being initially deployed. The coverage and connectivity coupling problems have been thoroughly studied in the literature [56], [57]. For instance, some works [29], [58] focused on mobilizing the initial deployment of the network in order to change the topology of the network for better connectivity and coverage.…”

Section: A Coverage Based Strategiesmentioning

confidence: 99%

Mobility based network lifetime in wireless sensor networks: A review

Nguyen

2020

Computer Networks

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Increasingly emerging technologies in microelectromechanical systems and wireless communications allows a mobile wireless sensor networks (MWSN) to be a more and more powerful mean in many applications such as habitat and environmental monitoring, traffic observing, battlefield surveillance, smart homes and smart cities. Nevertheless, due to sensor battery constraints, energy-efficiently operating a MWSN is paramount importance in those applications; and a plethora of approaches have been proposed to elongate the network longevity at most possible. Therefore, this paper provides a comprehensive review on the developed methods that exploit mobility of sensor nodes and/or sink(s) to effectively maximize the lifetime of a MWSN. The survey systematically classifies the algorithms into categories where the MWSN is equipped with mobile sensor nodes, one mobile sink or multiple mobile sinks. How to drive the mobile sink(s) for energy efficiency in the network is also fully reviewed and reported.

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Section: A Coverage Based Strategiesmentioning

confidence: 99%

Mobility based network lifetime in wireless sensor networks: A review

Nguyen

2020

Computer Networks

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“…The authors of [25] provide a classification of the WSN with respect to their abilities: sensor-type, deployment strategy, network architecture, mobility, coverage and sensing. According to their taxonomy (see Fig.…”

Section: Related Workmentioning

confidence: 99%

DACYCLEM: A decentralized algorithm for maximizing coverage and lifetime in a mobile wireless sensor network

et al. 2019

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“…Covering points of interest (PoI) has also been studied in mobile wireless sensor networks (M-WSN) [10], [11]. In such networks, the goal is to ensure that deployed mobile sensors provide the required coverage for the area of interest, while ensuring connectivity of the deployed network.…”

Section: Introductionmentioning

confidence: 99%

Self-Organized Disaster Management System by Distributed Deployment of Connected UAVs

Busnel

Caillouet

Coudert

2019

2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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Providing network services access anytime and anywhere is nowadays a critical issue, especially in disaster emergency situations. A natural response to such a need is the use of autonomous flying drones to help finding survivors and provide network connectivity to the rescue teams. We propose VESPA, a distributed algorithm using only one-hop information of the drones, to discover targets with unknown location and auto-organize themselves to ensure connectivity between them and the sink in a multi-hop aerial wireless network. We prove that connectivity, termination and coverage are preserved during all stages of our algorithm, and we evaluate the algorithm performances through simulations. Comparison with a prior work shows the efficiency of VESPA both in terms of discovered targets and number of used drones.• Each unoccupied spot s i (i.e., such that w i = 0) receives a value v i = d(si,S)×C 4×d(di,S) that is proportional to the distance

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Coverage in mobile wireless sensor networks (M-WSN): A survey

Cited by 134 publications

References 47 publications

Mobility based network lifetime in wireless sensor networks: A review

Mobility based network lifetime in wireless sensor networks: A review

DACYCLEM: A decentralized algorithm for maximizing coverage and lifetime in a mobile wireless sensor network

Self-Organized Disaster Management System by Distributed Deployment of Connected UAVs

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