Mobile platform sampling for designing environmental sensor networks

Budi, Setia; Souza, Paulo de Oliveira Ponte de Jorge; Timms, Greg; Susanto, Ferry; Malhotra, Vishv; Turner, Paul

doi:10.1007/s10661-018-6510-0

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Cited by 3 publications

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“…Budi et al [47] have very recently proposed using a mobile platform to explore an area prior to sensor deployment, and using those readings to design an optimal sensor placement. Jin et al [48] also propose a robot-based sensing system for indoor air quality, and investigate techniques for interpolating spatio-temporal values from sparse robot readings.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental sensing and modelling using wireless sensor networks

Bhandari¹

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Wireless sensor networks have gained significant traction in environmental signal monitoring and analysis. For a battery powered system, the lifetime of the system typically depends on the frequency at which environmental phenomena are monitored. If energy harvesting is added to provide indefinite lifetime, then the size and cost of the energy harvesting hardware is similarly affected by the sampling frequency. Typically, each data sample requires the node to wake up from a low-energy sleep mode. If sampling rates are reduced, then the node duty cycle can be reduced, and energy can be saved. This is particularly true when the measured quantity has slow dynamics, such as temperature. Using empirical datasets collected from iv

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Section: Literature Reviewmentioning

confidence: 99%