Energy Saving Strategy for Video-based Wireless Sensor Networks Under Field Coverage Preservation

Pescaru, Dan; Istin, Codruta; Curiac, Daniel-Ioan; Doboli, Alex

doi:10.1109/aqtr.2008.4588754

Cited by 17 publications

(17 citation statements)

References 21 publications

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“…In their work the energy consumption of a camera node in active and idle mode is assumed approximately as 970 and 550 mW respectively which we find is high compared to the other types of scalar nodes. Most commonly used energy saving strategy in sensor networks is to put the redundant nodes in standby condition [23,24]. Other strategies such as scheduling of nodes can be done periodically or on priority basis while maintaining QoS parameters and criticality of the applications [9,13,25,26].…”

Section: Related Workmentioning

confidence: 99%

A two-tier strategy for priority based critical event surveillance with wireless multimedia sensors

Bhatt

Datta

2015

Wireless Netw

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Surveillance plays a vital role in protecting infrastructure facilities of a country and improving detection of cross-border activities. Compared to traditional surveillance systems, wireless multimedia sensor networks (WMSN) provide distinct advantages. In this paper we consider the problem of critical event surveillance in a region of interest with the help of WMSN. The challenge here is deployment cost, energyefficient routing and preservation of coverage and connectivity of the network. To keep the deployment cost minimum, we propose a two-tier strategy consisting of (a) densely deployed low cost audio tier nodes and (b) sparsely placed high cost video tier nodes to monitor critical events occurring in a given area. The audio nodes perform the preliminary event detection task, whereas, the base station activates the rotatable-video nodes on a demand basis. Depending upon the cost of potential damage, an event is assigned a priority, and based upon that priority an event is assigned either energy efficient or a delay tolerant path along the audio and video tiers. We also propose two integer linear programming formulations MEAT and MEVT for minimization of energy consumption in audio and video tiers separately. We then present two approaches, namely Greedy and DCSEG, and compare them with a popular existing approach under various scenarios. Simulation results show considerable reduction in the number of active audio and video sensor nodes per event which leads to low deployment cost and reduction of average energy consumption in the network.

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Section: Related Workmentioning

confidence: 99%

A two-tier strategy for priority based critical event surveillance with wireless multimedia sensors

Bhatt

Datta

2015

Wireless Netw

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“…where 1 R and 2 R are the values of different radius, and 12 RR  (There is a compensatory explanation for their relationship in section 3.1).  is an adjustable parameter associated to the characteristics of hardware architecture of multimedia node.…”

Section: Related Definitionmentioning

confidence: 99%

“…Ref. [12] proposed that the situations which the perception area of sensor model has overlap are totally 11, besides, when the distance 2 RR  between two nodes is more than 2R, the repulsion cannot exist because there will no overlapping areas exist between the nodes. Ref.…”

Section: ) Repulsion Between the Centroids Of Nodesmentioning

confidence: 99%

Improving Path-Coverage for Moving Targets in Wireless Multimedia Sensor Networks

Zhang¹,

Huang²,

Sun³

et al. 2014

JCM

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Aimed at the path coverage problem for wireless multimedia sensor networks, MTPCA (Moving Target based Path Coverage-enhancing Algorithm) algorithm is proposed. This algorithm introduces the improved probabilistic model into the virtual potential field based directional sensor network coverage. In order to correct the centroid position of sector area covered by sensor node in traditional probabilistic model, this algorithm puts forward the concept of coverage impact factor to obtain better coverage effect. Furthermore, in MTPCA, multimedia sensor nodes acquire the real-time position information of target point through the discretization of the path curve. In this way, we further adjust the moving directions of each sensor to completely cover all the points along with the path curve. And meanwhile, for the sensing overlapping regions, according to the master active node selection criteria, MTPCA makes no-master nodes asleep for the purpose of energy-saving. The simulation results show that the algorithm can optimize the resource allocation, achieve the satisfactory coverage ratio, and extend the network lifetime. Index Terms-Wireless multimedia sensor networks (WMSN), path coverage, moving target, energy efficiency, virtual potential force, probabilistic model I. INTRODUCTION With the technology development of wireless networks and sensing devices, data types of sensor nodes are also diversified rapidly, from the original scalar data to audio, video, and image et al. multimedia data, and therefore compose the wireless multimedia sensor networks (ab. WMSN). Compared with the scalar sensor nodes, multimedia sensor nodes usually have more complex structure, have the data processing and transform module and require the higher network bandwidth. Furthermore, multimedia sensor needs to transmit a large amount of data when communicating with other sensors. Therefore, the traditional techniques of data processing are really not suitable for WMSN [1]. In addition to that, multimedia sensors are more costly in comparison with the common ones such as temperature sensor nodes, which determines they cannot be deployed within the coverage area unlimitedly. So, how to reduce the number of active multimedia nodes, prolong the network lifetime and

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“…Nodes in WSNs are disposable electronic devices equipped with a transceiver, an energy supply (typically a battery) and a sensing unity, although others modules can also be found [ 3 ]. In traditional WSNs, sensors collect scalar data such as humidity, temperature, pressure and seismic variations [ 4 ]. When inexpensive low-resolution cameras are embedded in wireless sensors, visual data can be retrieved from the environment too, allowing a new scope of applications.…”

Section: Introductionmentioning

confidence: 99%

The Coverage Problem in Video-Based Wireless Sensor Networks: A Survey

Costa

Guedes

2010

Sensors

103

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Wireless sensor networks typically consist of a great number of tiny low-cost electronic devices with limited sensing and computing capabilities which cooperatively communicate to collect some kind of information from an area of interest. When wireless nodes of such networks are equipped with a low-power camera, visual data can be retrieved, facilitating a new set of novel applications. The nature of video-based wireless sensor networks demands new algorithms and solutions, since traditional wireless sensor networks approaches are not feasible or even efficient for that specialized communication scenario. The coverage problem is a crucial issue of wireless sensor networks, requiring specific solutions when video-based sensors are employed. In this paper, it is surveyed the state of the art of this particular issue, regarding strategies, algorithms and general computational solutions. Open research areas are also discussed, envisaging promising investigation considering coverage in video-based wireless sensor networks.

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Energy Saving Strategy for Video-based Wireless Sensor Networks Under Field Coverage Preservation

Cited by 17 publications

References 21 publications

A two-tier strategy for priority based critical event surveillance with wireless multimedia sensors

A two-tier strategy for priority based critical event surveillance with wireless multimedia sensors

Improving Path-Coverage for Moving Targets in Wireless Multimedia Sensor Networks

The Coverage Problem in Video-Based Wireless Sensor Networks: A Survey

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