Self-organized area coverage in wireless sensor networks by limited node mobility

Saha, Dibakar; Das, Nabanita

doi:10.1007/s11334-016-0277-7

Cited by 16 publications

(12 citation statements)

References 19 publications

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“…Recently, a distributed deployment algorithm for WSN has been proposed to increase coverage [1]. The proposed solution is iterative and based on geometry, using the Voronoi diagram to partition the area among sensors.…”

Section: Mobile Nodesmentioning

confidence: 99%

“…Here, we evaluated the efficiency of mobile nodes, varying the WSN configurations, considering mesh and random initial deployments, and moving nodes initially to improve coverage and afterwards to keep coverage when nodes stop to work. Our approach is similar to the one proposed by [1], but our procedure to compute the new position is simpler and has lower computation cost. In [1], the proposed deployment algorithm has been evaluated using only random deployment, without comparison to mesh ones.…”

Section: Mobile Nodesmentioning

confidence: 99%

“…However, in environment monitoring, it is sometimes not possible to deploy nodes in a specific location and sometimes nodes must be launched from an airplane. This nonuniform sensor nodes distribution might lead to coverage holes in the network [1]. As, in these cases, an initial random deployment is obtained, a dynamic reorganization strategy can be helpful to spread nodes into the desired area, moving them according to a given strategy.…”

Section: Introductionmentioning

confidence: 99%

“…As, in these cases, an initial random deployment is obtained, a dynamic reorganization strategy can be helpful to spread nodes into the desired area, moving them according to a given strategy. The mobility of nodes can be explored for deploying nodes in the area of interest maximizing coverage [1][2][3]. Besides, the movement can be also adopted to reorganize nodes in such a way that a working node can replace a dead node in order to keep or restore coverage.…”

Section: Introductionmentioning

confidence: 99%

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Efficiency Evaluation of Strategies for Dynamic Management of Wireless Sensor Networks

Gonzalez

Brisolara

Ferreira

2017

Wireless Communications and Mobile Computing

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This paper presents and evaluates dynamic management strategies to improve efficiency in event-triggered wireless sensor networks. We are considering mobility, where nodes move themselves to maximize the coverage, and load balancing state-of-the-art techniques, by which the number of nodes sensing the same area is reduced. To explore mobility, we present a simple method by which nodes can dynamically reorganize themselves based on the force fields approach of mobile robotics. Firstly, the strategies are evaluated separately through experiments with different network configurations and, afterwards, a joint evaluation has been conducted to observe the impact of mobility on the efficiency of load balancing techniques. We show that mobile nodes significantly contribute to keeping the coverage as nodes die in mesh and powerfully improving it in random deployments. Load balancing techniques achieve important results, increasing lifetime and the number of sensed events. However, in random deployments, these techniques lose efficiency and become unsuitable strategies. Combining these strategies with mobility, we observe that PS-based technique keeps its contribution in mesh and random deployments, as well as improving its performance for not so dense networks. Ant-based technique when combined with mobile nodes loses performance significantly in mesh and keeps its good performance in random deployed and less dense networks.

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Section: Mobile Nodesmentioning

confidence: 99%

Section: Mobile Nodesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficiency Evaluation of Strategies for Dynamic Management of Wireless Sensor Networks

Gonzalez

Brisolara

Ferreira

2017

Wireless Communications and Mobile Computing

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“…But these algorithms cannot achieve full coverage. Fortunately, the full coverage over the monitoring area is not necessarily needed for the sensor network for most applications [13,14]. It is sufficient for the network to maintain a reasonable coverage rate.…”

Section: Introductionmentioning

confidence: 99%

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

Sun

Zhao

Xing

2018

J Wireless Com Network

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The node deployment in mobile sensor networks (MSNs) is mostly performed in a random method. However, a large number of redundant nodes may exist due to the randomness. As a result, severe data congestion may be caused and the quality of coverage (QoC) is undermined. In order to solve this QoC problem, we propose an Energy-efficient Nonlinear Coverage Control Protocol (ENCP). This protocol utilizes the normal distribution to calculate the minimal number of sensors which is required to guarantee coverage over the monitoring area. We also balance the node energy consumption and achieve the collaborative scheduling among all the sensor nodes. Meanwhile, when a certain QoC is guaranteed, we present the calculation model for the normal distribution of the sensing ranges and the proportional relationship between different parameters in the QoC function. Finally, simulation results show that the ENCP could not only improve the network QoC and network coverage rate but also effectively control the energy exhaustion at the nodes. Therefore, the network lifetime can be effectively prolonged.

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Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

Awad

Pang

Coghill

2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Self-organized area coverage in wireless sensor networks by limited node mobility

Cited by 16 publications

References 19 publications

Efficiency Evaluation of Strategies for Dynamic Management of Wireless Sensor Networks

Efficiency Evaluation of Strategies for Dynamic Management of Wireless Sensor Networks

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

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