Optimization Models for Determining Performance Benchmarks in Wireless Sensor Networks

Loscrì, Valeria; Natalizio, Enrico; Costanzo, Carmelo; Guerriero, Francesca; Violi, Antonio

doi:10.1109/sensorcomm.2009.58

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Recent works focused on multi-objective mathematical models to determine the best placement of mobile nodes for different tasks [20,27]. In [4], authors analyze mobile sensor movement on a circular path with the goal to cover the set of predefined PoIs that lay on the same path, but the position of the PoI is assumed to be known and the approach cannot be used for the multi-path problem (that introduces multiple movement paths and data sink).…”

Section: Introductionmentioning

confidence: 99%

Multiple point of interest discovery and coverage with mobile wireless sensors

Erdelj

Natalizio

Razafindralambo

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

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Section: Introductionmentioning

confidence: 99%

Multiple point of interest discovery and coverage with mobile wireless sensors

Erdelj

Natalizio

Razafindralambo

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

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“…To the best of our knowledge, there are very few works that combine PoI discovery and coverage with connectivity preservation. Recent works focused on multi-objective mathematical models to determine the best placement of mobile nodes for different tasks [20,27]. In [4], authors analyze mobile sensor movement on a circular path with the goal to cover the set of predefined PoIs that lay on the same path, but the position of the PoI is assumed to be known and the approach cannot be used for the multi-path problem (that introduces multiple movement paths and data sink).…”

Section: Introductionmentioning

confidence: 99%

Multiple point of interest discovery and coverage with mobile wireless sensors

et al. 2013

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Environmental monitoring has become a typical application of wireless sensor networks. The concept of monitoring certain Points of Interest (PoIs) instead of the whole sensor field helps in reducing the costs of the deployment and improving the performance in terms of coverage. However, the problems of multiple PoI discovery, coverage and data report are still solved separately and there are no works that combine the aforementioned problems into a single deployment scheme. In this work, we present a novel approach for mobile sensor deployment, where we combine multiple PoI discovery and coverage with network connectivity preservation in order to capture the dynamics of the monitored area. Furthermore, we derive analytical expressions for circular movement parameters and examine the performance of our approach through extensive simulation campaigns.

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