Distributed virtual-movement scheme for improving energy efficiency in wireless sensor networks

Costanzo, Carmelo; Loscrì, Valeria; Natalizio, Enrico

doi:10.1145/1641804.1641855

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…In [32], the mobility is controlled and nodes move from the initial configuration towards a spatial distribution that increases the network's throughput capacity and decreases the mean-service delay of packets. A similar approach is used in [10] to determine the optimal placement in terms of energy consumption by virtualizing nodes' movements. In these works, upon the determination of the optimal placement, nodes do not have to move further.…”

Section: Connectivitymentioning

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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Section: Connectivitymentioning

confidence: 99%

Multiple point of interest discovery and coverage with mobile wireless sensors

et al. 2013

Self Cite

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“…Authors of [22] consider a flip-based mobility model, where a centralized mechanism is proposed to reposition sensors after the initial deployment, according to the desired density. In [6], authors present a distributed algorithm that first makes sensors determine the best placement and then drives them to the calculated positions. Both these works aim at maximizing sensor network lifetime.…”

Section: Wireless Sensor Network Placementmentioning

confidence: 99%

Fast and reliable robot deployment for substitution networks

Razafimandimby

Miranda

Zorbas

et al. 2013

Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &Amp; Ubiquitous Networks

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In this paper, we propose an algorithm to efficiently (re)-deploy the wireless mobile routers of a substitution network by considering the energy consumption, a fast deployment scheme and a mix of the network metric. We consider a scenario where we have two routers in a fixed network and where a robust connection must be restored between those two routers with a wireless mobile router. The main objective of the wireless mobile router is to increase the communication performance such as the throughput by acting as relay node between the two routers of the fixed network. We present a fast, adaptive and localized approach which takes into account different network metrics such as Received Signal Strength (RSS), Round-Trip Time (RTT) and the Transmission Rate, between the wireless mobile router and the two routers of the fixed network. Our method ameliorates the performance of our previous approach from the literature by shortening the deployment time, increasing the throughput, and consuming less energy in some specific cases.

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“…This behavioural issue is addressed in Ref. [3] by using virtual movements until stabilisation is reached. As long as the balance on the routing path is not achieved nodes do not move.…”

Section: Routing In Mobile Networkmentioning

confidence: 99%

Minimising energy consumption through mobility with connectivity preservation in sensor networks

Gouvy¹,

Hamouda²,

Mitton³

et al. 2012

International Journal of Parallel, Emergent and Distributed Sys

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In typical mobile wireless sensor networks, flows sent from collecting sensors to a sink could traverse inefficient resource expensive paths and experience arbitrary delays. This is particularly problematic in event-based sensor network where flows are of great importance. In this paper, we are interested in energy-aware routing algorithms that explicitly take advantage of node mobility to improve energy consumption of computed paths. Mobility is a two-sword edge however. Moving a node may render the network disconnected and results in early termination of information delivery.To mitigate these problems, we propose a family of routing algorithm called Connectivity preservation Mobile routing protocols for actuator and sensor NETworks (CoMNet), that uses local information and modifies the network topology to support resource efficient transmissions. Our extensive simulations show that CoMNet has high energetic performance improvement compared to existing routing algorithms. More importantly, we show that CoMNet guarantees network connectivity and efficient resource consumption.

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Distributed virtual-movement scheme for improving energy efficiency in wireless sensor networks

Cited by 4 publications

References 15 publications

Multiple point of interest discovery and coverage with mobile wireless sensors

Multiple point of interest discovery and coverage with mobile wireless sensors

Fast and reliable robot deployment for substitution networks

Minimising energy consumption through mobility with connectivity preservation in sensor networks

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