Adaptive sink mobility in event-driven multi-hop wireless sensor networks

Vincze, Zoltán; Vass, Dorottya; Vida, Rolland; Vidács, Attila; Telcs, András

doi:10.1145/1142680.1142697

Cited by 74 publications

(53 citation statements)

References 31 publications

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“…Melodia et al [45] suggest a location management scheme to handle the mobility of actors with minimal energy expenditure for the sensors, based on a hybrid strategy including location updates and location prediction. Vincze et al [46] use an adaptive approach for sink mobility in event-driven multi-hop WSNs to minimize the maximum load on sensors and prolong the lifetime of the networks. They use an intruder movement model as the event model and propose two strategies to: a) minimize the sum of event distances and b) minimize the maximum energy consumption.…”

Section: Related Workmentioning

confidence: 99%

Optimizing event coverage in theme parks

Solmaz

Turgut

2014

Wireless Netw

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Abstract-Theme parks can be modeled as geographical areas where large crowds of people move among different attractions. The operators of a theme park are interested in quickly and efficiently handling events occurring at various locations in the park. We propose a model which deploys a wireless network with mobile sinks to facilitate event coverage. The event coverage problem can be divided into two sub-problems: the static problem of mobile sink positioning and the dynamic problem of event handling decisions of the mobile sinks. For the mobile sink positioning problem we propose two strategies: crowd density based probability estimation (CDPE) and hot-spot based probability estimation (HSPE). For the event handling decision problem, we propose an approach which represents movement opportunities in the park as a graph with dynamically changing weights, and searches for the shortest path in this dynamic graph. The proposed approaches are simulated on scenarios which model the movement of the visitors using two sophisticated human mobility models.

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Section: Related Workmentioning

confidence: 99%

Optimizing event coverage in theme parks

Solmaz

Turgut

2014

Wireless Netw

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“…Without loss of generality, we use Poisson distribution [18,19,20] as a concrete exemplary distribution to present our methodology through the paper. We expect our high-level idea can be applied to non-Poisson distributions, although mathematical derivation would be quite different.…”

Section: Problem Definition and Assumptionsmentioning

confidence: 99%

On accurate and efficient statistical counting in sensor-based surveillance systems

Guo¹,

He²,

Mokbel³

et al. 2010

Pervasive and Mobile Computing

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“…This strategy can waste a significant amount of energy for the mobile sinks in eventdriven sensor networks where events occur at discrete times. Multi-hop operation between the mobile sink and the source nodes is considered in [16]. Forecast algorithms are used to predict the location of the next event.…”

Section: Related Workmentioning

confidence: 99%

Datacollection in Event-Driven Wireless Sensor Networks with Mobile Sinks

Sabbineni

Chakrabarty

2010

International Journal of Distributed Sensor Networks

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We present a two-tier distributed hash table-based scheme for data-collection in event-driven wireless sensor networks. The proposed method leverages mobile sinks to significantly extend the lifetime of the sensor network. We propose localized algorithms using a distributed geographic hash-table mechanism that adds load balancing capabilities to the data-collection process. We address the hotspot problem by rehashing the locations of the mobile sinks periodically. The proposed mobility model moves the sink node only upon the occurrence of an event according to the evolution of current events, so as to minimize the energy consumption incurred by the multihop transmission of the event-data. Data is collected via single-hop routing between the sensor node and the mobile sink. Simulation results demonstrate significant gains in energy savings, while keeping the latency and the communication overhead at low levels for a variety of parameter values.

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Adaptive sink mobility in event-driven multi-hop wireless sensor networks

Cited by 74 publications

References 31 publications

Optimizing event coverage in theme parks

Optimizing event coverage in theme parks

On accurate and efficient statistical counting in sensor-based surveillance systems

Datacollection in Event-Driven Wireless Sensor Networks with Mobile Sinks

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