The design and implementation of a surveillance and self-driven cleanup system for blue-green algae blooms on Lake Tai

Liu, Dong; Zhao, Ze; Li, Cui; Zhu, He; Zhang, Le; Zhang, ZhaoLiang; Wang, Yi; Chen, Haiming

doi:10.1109/mass.2010.5663830

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…To see whether IWS is valid or not, we compare it with the algorithm (named p-algorithm) with fixed wakening probability p evaluated in the interval [0,1]. While the parameter C in IWS is evaluated in the interval [0, 10].…”

Section: B Results Analysismentioning

confidence: 99%

“…Then ij a can be calculated as follows: Given sensor node i and grid unit ij g , the corresponding grids set () i Up can be calculated according to (4). () ij x Ft and ( , ) i I p t can be calculated according to (1) and (5) respectively. At last, the nodes wakening probability can be calculated according to (6) and (7).…”

Section: A Simulation Environmentmentioning

confidence: 99%

“…Applications of WSN include battlefield surveillance, biological detection, home appliance, smart spaces and inventory tracking. By applying WSN in the monitoring of Blue-green Algae Bloom on Lake Tai [1], we can obtain the physical information, like water temperature and water color, and it is possible to predict biological growth and potential ecological disaster.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent wakening scheme for wireless sensor networks surveillance

Wang

Zhang

2011

2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Abstract-The effective energy control while maintaining reliable detection performance is a key problem in wireless sensor networks surveillance, such as blue-green algae surveillance. An intelligent wakening scheme (IWS) is proposed in this paper which considers different importance degrees of the grids in the surveillance zone. It uses a voronoi diagram to determine the effective scope of each sensor node and calculates the node wakening probability with the importance degree in the effective scope. The nodes are then turned on stochastically according to the node wakening probability. Simulation results illustrate that this scheme greatly reduces the number of wakening nodes while maintaining high reliability in surveillance.

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Section: B Results Analysismentioning

confidence: 99%

Section: A Simulation Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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