Self Organizing Sensor Network to Enhance Event Coverage

Indu, S.; Kesam, Venu; Chaudhury, Santanu; Bhattacharyya, Asok

doi:10.21307/ijssis-2017-426

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…A self configuring distributed deployment algorithm (SCDDA) is proposed in Indu, Bhattacharyya, Kesham, and Chaudury (2010). The algorithm starts by dividing the ROI into hexagonal cells, in each cell a sensor is elected as cluster head.…”

Section: Related Workmentioning

confidence: 99%

Coverage Maximization and Energy Conservation for Mobile Wireless Sensor Networks

Aziz

Mohemmed

Alias

et al. 2012

International Journal of Natural Computing Research

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WSN is a group of low-cost, low-power, multifunctional and small size wireless sensor nodes that work together to sense the environment, perform simple data processing and communicate wirelessly over a short distance. Mobile wireless sensor networks (WSN) coverage can be enhanced by moving the sensors so that a better arrangement is achieved. However, movement is a high energy consumption task. To maximize coverage the sensors need to be placed not too close to each other so that the sensing capability of the network is fully utilised; however they must not be located too far from each other to avoid coverage holes. It is desired to achieve optimal coverage and at the same time not to relax the mobility energy consumption issue due to the fact that sensors have a limited energy supply. This research is interested in solving the coverage and energy conservation issues of mobile wireless sensors using PSO. In this paper the WSN coverage maximization problem is considered by taking into account the energy spent for sensor repositioning. Thus there are two objectives to be optimized, namely maximizing the coverage and conserving the energy. The two objectives are tackled one by one, starting with the coverage maximization followed by energy conservation. Hence a two-phase PSO approach is proposed. The results show that the proposed algorithm successfully achieves its objectives to reduce the energy usage while at the same time improve the coverage. The energy usage is reduced by cutting down the maximum distance moved.

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Section: Related Workmentioning

confidence: 99%

Coverage Maximization and Energy Conservation for Mobile Wireless Sensor Networks

Aziz

Mohemmed

Alias

et al. 2012

International Journal of Natural Computing Research

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“…Localization technique is required to determine the position of nodes in wireless sensor networks. This technique is needed for the sensor nodes that have the capability on distributed selfconfiguration [1]. Each node has to be able to send and receive information from the other nodes, and estimate its position relative to the vicinity nodes [2].…”

Section: Introductionmentioning

confidence: 99%

Weighted Hybrid Localization Scheme for Improved Node Positioning in Wireless Sensor Networks

Kristalina

Wirawan

Hendrantoro

2013

International Journal on Smart Sensing and Intelligent Systems

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“…In the modern world, many applications based on Wireless Sensor Network (WSN), like patient health monitoring, home automation etc. [23] [24], require extensive use of Internet. Therefore, in order to realize the full potential of WSN through the Internet, integration of the two technologies is needed and the integration must comply with the current and existing standards.…”

Section: Introductionmentioning

confidence: 99%