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

Etancelin, Jean-Matthieu; Fabbri, André; Guinand, Frédéric; Rosalie, Martin

doi:10.1016/j.adhoc.2018.12.008

Cited by 43 publications

(10 citation statements)

References 55 publications

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“…Improving the data quality cost-efficiently is difficult due to the costs and laboriousness of traditional calibration procedures, which require access to the devices and typically cause interruptions in operation [ 1 ]. Mainly for these reasons, a lot of effort has been globally put into development of computational self-calibration and data processing methods to improve data quality and sensor network lifetime, e.g., by Kalman filtering and ML [ 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Metrological Challenges in Collaborative Sensing: Applicability of Digital Calibration Certificates

Mustapää

Nikander

Hutzschenreuter

et al. 2020

Sensors

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IoT systems based on collaborative sensor networks are becoming increasingly common in various industries owing to the increased availability of low-cost sensors. The quality of the data provided by these sensors may be unknown. For these reasons, advanced data processing and sensor network self-calibration methods have become popular research topics. In terms of metrology, the self-calibration methods lack the traceability to the established measurement standards of National Metrology Institutes (NMIs) through an unbroken chain-link of calibration. This problem can be solved by the ongoing digitalization of the metrology infrastructure. We propose a conceptual solution based on Digital Calibration Certificates (DCCs), Digital SI (D-SI), and cryptographic digital identifiers, for validation of data quality and trustworthiness. The data that enable validation and traceability can be used to improve analytics, decision-making, and security in industrial applications. We discuss the applicability and benefits of our solutions in a selection of industrial use cases, where collaborative sensing has already been introduced. We present the remaining challenges in the digitization and standardization processes regarding digital metrology and the future work required to address them.

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Section: Introductionmentioning

confidence: 99%

Metrological Challenges in Collaborative Sensing: Applicability of Digital Calibration Certificates

Mustapää

Nikander

Hutzschenreuter

et al. 2020

Sensors

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show abstract

“…2 In a prefixed manner, the sensor nodes are deployed to a structured WSN. 3 However, the connectivity and coverage problems are considered to be the complex and critical task to be solved in WSN. 4 In WSN, the higher degree of reliability covering wholly the monitored region refers to the coverage property.…”

Section: Introductionmentioning

confidence: 99%

“…Thereby, the failure detection and connectivity management becomes uneasy with this WSN 2 . In a prefixed manner, the sensor nodes are deployed to a structured WSN 3 . However, the connectivity and coverage problems are considered to be the complex and critical task to be solved in WSN 4 .…”

Section: Introductionmentioning

confidence: 99%

Optimization for connectivity and coverage issue in target‐based wireless sensor networks using an effective multiobjective hybrid tunicate and salp swarm optimizer

Chelliah¹,

Kader²

2020

Int J Communication

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Summary The two main important issues in designing target‐based wireless sensor networks (WSNs) are coverage and connectivity maximization. In order to tackle the coverage and connectivity problems, we have proposed a hybrid optimization‐based model. Thereby, the target‐based WSNs can include the sensor nodes which are placed based on determining minimum number of selected potential positions. To do that, an optimization approach based on a hybrid tunicate swarm optimizer (TSO) and salp swarm optimizer (SSO) is proposed for coverage and connectivity problems in WSNs. Feature exploitation ability of SSO is improved by TSO operators, because these operators can act as local search operators. Basically, these hybrid algorithm operators are used to derive the fitness function followed with the solution representation step. Initially, the population is generated, and the hybrid tunicate swarm optimizer and salp swarm optimizer (HTSS) algorithm has updated the solutions in the next subsequent step. Ultimately, the nondominated solutions are determined in the final step. The two different scenarios of WSN are used for simulation of this scheme. Simulations have shown its outstanding performance in solving the coverage and connectivity problems in wireless networks.

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“…Such a node may drain all its energy and become unable to process or send data. [7][8][9] The death of relaying nodes present on linking paths between a significant portion of the network and the sink would then cause disconnection of that part from the rest of the network. Thus, nodes in the disconnected partition or cluster are no longer able to send their collected data to the sink.…”

Section: Introductionmentioning

confidence: 99%

Toward connectivity of a disconnected cluster in partitioned wireless sensor network for time-critical data collection

Nasr

Khan

2020

International Journal of Distributed Sensor Networks

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Reliable network connectivity is one of the major design issues in the context of wireless sensor networks. These networks have diverse communication patterns due to non-uniform sensing activities at various locations in the environment being monitored. In such scenarios, some nodes lying in high-traffic zones may consume more energy and eventually die out resulting in network partitioning. This gives rise to a situation in which alive nodes are trapped in a disconnected cluster, and they do not have enough radio range to communicate their data to the destination (i.e. a sink or a relay node connected to the main part of the network). This phenomenon may deprive a large number of alive nodes of sending their important time-critical data to the sink. In this article, we propose a virtual antenna–based cooperative beamforming approach for retrieving valuable data from these disconnected nodes. In the proposed approach, the sensor nodes in an isolated partition work together to form a directional beam. This directional beam significantly increases their overall communication range to reach out to a distant relay node which is connected to the main part of the network. The proposed approach of cooperative beamforming–based partition connectivity is more effective when a cluster with a favorably large number of nodes gets partitioned. Furthermore, a beamforming-based mechanism is proposed for a disconnected cluster to locate the nearest relay node which is still connected to the sink and to reconnect itself to the main part of the network via the most adjacent relay node for time-critical data transmission. The proposed mechanism is then evaluated through simulation results.

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

Cited by 43 publications

References 55 publications

Metrological Challenges in Collaborative Sensing: Applicability of Digital Calibration Certificates

Metrological Challenges in Collaborative Sensing: Applicability of Digital Calibration Certificates

Optimization for connectivity and coverage issue in target‐based wireless sensor networks using an effective multiobjective hybrid tunicate and salp swarm optimizer

Toward connectivity of a disconnected cluster in partitioned wireless sensor network for time-critical data collection

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