A novel virtual force-based data aggregation mechanism with mobile sink in wireless sensor networks

Su, Shengchao; Zhao, Shenghui

doi:10.1007/s10586-018-1833-8

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…Due to the uncertainty of robot dynamics and obstacle position information, Elman neural network is also used to compensate for uncertainty and improve system stability. Su et al proposed a data aggregation mechanism with mobile receivers in a wireless sensor network based on virtual force [25,26]. Firstly, the hierarchical mixture of genetic algorithm and particle swarm optimization algorithm in distributed clustering is introduced, and the whole region is divided into multiple grids.…”

Section: Related Workmentioning

confidence: 99%

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Liu

et al. 2021

Mathematical Problems in Engineering

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In a wireless sensor network, the sensor nodes transmit the acquired information to the server through the data transmission link. On the serverside, the data are processed, fused, and expressed to serve the user. Sensor deployment is a key factor related to the stability and security of wireless networks. This article uses environmental changes to drive related technologies to deploy wireless sensors. In this article, environmental change-driven means that through certain deployment cost model assumptions and problem descriptions, network deployment is artificially divided into two stages: initial deployment and redeployment. In the deployment phase, by referring to the idea of virtual force, a new sensor deployment algorithm is proposed in the redeployment phase, which can well solve the stability- and security-related issues encountered in agricultural wireless sensor networks. In this algorithm, the moving distance of the mobile receiver and the average coverage of the network are calculated based on the virtual force, the direction, and the number of adjacent clusters. Finally, the algorithm model was simulated in MATLAB, and the feasibility of the algorithm was verified by analyzing the event coverage and the moving distance of nodes. The final simulation results show that the algorithm proposed in this paper can achieve better performance than existing algorithms in terms of average coverage and moving distance.

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Section: Related Workmentioning

confidence: 99%

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Liu

et al. 2021

Mathematical Problems in Engineering

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“…The proposed algorithm for mobile sink path selection consumes more time to select optimum path, hence it computes probability of distribution function in each iteration. Ruilong et al [21–23] have proposed an online algorithm for a mobile sink WSN network. The proposed online algorithm requires very little priori knowledge which was implemented via a primal dual approach.…”

Section: Related Workmentioning

confidence: 99%

“…In this study, optimal sink location was achieved through the computed competitive ratio and approximation ratio. The author discussed in [21–23], sink relocation does not consider any parameter such as remaining energy and distance between cluster head and sink node, and hence it leads to increase energy consumption and premature death of the sensor nodes in the network. The route adjustment is a significant process in WSN‐IoT to find the route after sink relocation.…”

Section: Related Workmentioning

confidence: 99%

Pair‐based sink relocation and route adjustment in mobile sink WSN integrated IoT

Thiruchelvi¹,

Karthikeyan²

2020

IET Communications

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“…Shengchao Su and Shuguang Zhao [14] suggested a framework of virtual forces-centric DA with a mobile sink on WSN. The optimum moving trajectories of sink nodes could be attained to effectually save energy and to acquire high efficacy.…”

Section: Literature Surveymentioning

confidence: 99%

Data Aggregation Scheme Using Multiple Mobile Agents in Wireless Sensor Network

2019

IJRTE

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Wireless Sensor Nodes (WSN) has restricted sensing, communication and computational capabilities, in addition, are mainly operated by means of batteries in a bad atmosphere with the non-replenish-able power sources. As Data aggregation (DA) has more significance in solving the chief limitations of utilizing WSNs, say, the restricted battery life of the powered sensors in addition to short-communication gamut of sensors, it becomes an active research domain today. Effectively gathering data has constantly been the principal significance in WSNs. Regarding the static sink, nodes next to the sink would encompass more loads for routing data, and consequently Mobile Agent (MA) has been commenced. At the moment, the MA could move itself to the sensor nodes (SN) for amassing the data. This MA has made the gathering and aggregation of data possible in a means that is suitable for instantaneous applications. This work proposes an effective DA Scheme in WSN that employs manifold MAs for aggregating data in addition to transferring it to the sink centred on Itinerary planning. This could well be attained by grouping the nodes in clusters as well as planning itineraries effectually amongst cluster heads (CHs) alone. In the proposed DA scheme, itinerary planning is performed utilizing Hybrid Ant Colony Optimization-Genetic Algorithm (ACO-GA). Ultimately, the sink sends the MAs for amassing data as of the CH. Simulation outcome confirms clearly that the proposed work shows high-level performance than the other traditional techniques.

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A novel virtual force-based data aggregation mechanism with mobile sink in wireless sensor networks

Cited by 7 publications

References 23 publications

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Pair‐based sink relocation and route adjustment in mobile sink WSN integrated IoT

Data Aggregation Scheme Using Multiple Mobile Agents in Wireless Sensor Network

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