Slot scheduling for wireless sensor networks

Bernard, Thibault; Fouchal, Hacène

doi:10.3233/jcm-2012-0432

Cited by 20 publications

(12 citation statements)

References 18 publications

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“…Calculation of energies Ei of the output signals yi(n) is realized as the sum of squares of the samples (4). The vector E = (E0, E1 … E9) T is the input vector into the classification algorithm.…”

Section: Preprocessing Of the Acoustic Signalmentioning

confidence: 99%

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Monitoring of water level based on acoustic emissions

Micek

Karpis

Olesnanikova

et al. 2015

2015 IEEE Symposium on Computers and Communication (ISCC)

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One of the interesting areas in Wireless SensorNetworks (WSN) is an environmental monitoring. WSN applications in environmental monitoring are characterized mainly by the need to ensure their long-term operation with minimal energy resources. Therefore, this contribution is dedicated to the energy-saving methods for indirect monitoring of water flow or water level. The proposed methods are based on processing of the acoustic signal emitted by the water flow. The system uses the principles known from the theory of learning systems. Before deploying each sensor into operation, the parameters of the model have to be set during the learning phase. After setting of these parameters the sensing element can work independently. Individual sensors are communicating over the network using the communication subsystem working in the ISM band.

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Section: Preprocessing Of the Acoustic Signalmentioning

confidence: 99%

“…Individual network elements (nodes) cannot be powered by electrochemical resources which represent a significant environmental burden. It is therefore necessary to develop such methods of sensing [7], transmission [4], [5], [6], [8] and processing of data that will optimal in terms of energy consumption [2], [9].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of water level based on acoustic emissions

Micek

Karpis

Olesnanikova

et al. 2015

2015 IEEE Symposium on Computers and Communication (ISCC)

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“…Figure 5 displays the oriented graphs that we build using various scale factor (k=3, k=4, k=6, k=8, k=14). The top of singularity is obtained for the sensors with the numbers 22, 9, 18, 21 with a singularity respectively equal to 25,9,9,8. We note that the sensor 22 has the lowest value of aggregated ranks, ie, the lowest overall dissimilarity (see the value 10.18 in Table II).…”

Section: Isolated Sensorsmentioning

confidence: 99%

Energy and activity monitoring over wireless sensor networks

Blanchard

Fouchal

Herbin

2017

Concurrency and Computation

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Summary Wireless sensor networks are one the most challenging fields in computer science and networking in particular with the exposition of Internet of things. The energy management is a crucial issue on wireless sensor network since it has a real influence on then network lifetime. Since such networks are used for many sensitive applications, they need to guarantee some quality of service requirements as continuous connectivity or continuous monitoring or balanced energy consumption over all the network nodes. In this paper, we suggest an algorithm which monitors the energy consumption of all nodes (in relation with their main activity: communication). We present an activity model of the network and evaluate how the remaining energy behaves. Our main objective is to predict (after a learning step) the energy consumption of all the nodes. Then, various techniques could be used to find a cure to such troubles (wake up sleeping neighbor nodes, increasing radio ranges of some neighbor nodes, etc). Simulations have shown interesting results, and large‐scale evaluation has to be undertaken to confirm the early results. Copyright © 2017 John Wiley & Sons, Ltd.

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“…All the process is presented in Figure 1. Packet scheduling mechanisms play a major role in LTE systems because a great performance gain can be achieved by properly allocating resources among users [9]. This allocation has to take into account various aspects such as meeting the expected QoS, assuring fairness and maximizing the total network throughput.…”

Section: Scheduling Overview In the Downlink Of Lte Networkmentioning

confidence: 99%

An enhanced two level scheduler to increase multimedia services performance in LTE networks

Avocanh

Abdennebi

Ben‐Othman

2014

2014 IEEE International Conference on Communications (ICC)

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LTE is becoming the most important radio access technology for mobile Networks, providing significantly a ubiquitous broadband access. This breakthrough brings strong QoS support, especially for multimedia services which are the most used applications in telecommunication. To reach its goals, LTE needs an appropriate packet scheduling scheme. This function is fundamental and very challenging, particularly in presence of multimedia services which require strict constraints on packet delay and packet loss. In this paper, we present an enhanced scheduling scheme which provides strict delay bounds and guarantees very low packet loss rate to multimedia services. This scheme is made of two levels that work in series and are designed to reach our goal. The performance of our proposed algorithm have been evaluated and compared to other schemes in the literature and simulations results demonstrated its effectiveness by showing that it optimized multimedia services performance and provided the best QoS support.

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Slot scheduling for wireless sensor networks

Cited by 20 publications

References 18 publications

Monitoring of water level based on acoustic emissions

Monitoring of water level based on acoustic emissions

Energy and activity monitoring over wireless sensor networks

An enhanced two level scheduler to increase multimedia services performance in LTE networks

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