Model-Based Design Exploration of Wireless Sensor Node Lifetimes

Jung, Deokwoo; Teixeira, Thiago; Barton-Sweeney, Andrew; Savvides, Andreas

doi:10.1007/978-3-540-69830-2_18

Cited by 37 publications

(48 citation statements)

References 6 publications

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“…Analysis of the energy consumption of a camera node when performing different tasks [60] and in different working modes [62] is essential for developing effective resource management policies. Understanding the trade-offs between data processing and data communication in terms of energy cost, as analyzed in [64], helps in choosing the best vision processing techniques that provide data of a certain quality while the lifetime of the camera node is prolonged.…”

Section: Energy Consumptionmentioning

confidence: 99%

A Survey of Visual Sensor Networks

2016

Computer Technology and Computer Programming

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Visual sensor networks have emerged as an important class of sensor-based distributed intelligent systems, with unique performance, complexity, and quality of service challenges. Consisting of a large number of low-power camera nodes, visual sensor networks support a great number of novel vision-based applications. The camera nodes provide information from a monitored site, performing distributed and collaborative processing of their collected data. Using multiple cameras in the network provides different views of the scene, which enhances the reliability of the captured events. However, the large amount of image data produced by the cameras combined with the network's resource constraints require exploring new means for data processing, communication, and sensor management. Meeting these challenges of visual sensor networks requires interdisciplinary approaches, utilizing vision processing, communications and networking, and embedded processing. In this paper, we provide an overview of the current state-of-the-art in the field of visual sensor networks, by exploring several relevant research directions. Our goal is to provide a better understanding of current research problems in the different research fields of visual sensor networks, and to show how these different research fields should interact to solve the many challenges of visual sensor networks.

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Section: Energy Consumptionmentioning

confidence: 99%

A Survey of Visual Sensor Networks

2016

Computer Technology and Computer Programming

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“…In order to do these evaluations, an evaluation environment was developed using MATSNL [32]. The reason for conducting these simulation studies is to simulate a WSN-based AMR reading architecture to predict the possible lifetime of wireless sensor nodes.…”

Section: Lifetime Evaluations On Wireless Sensor Nodesmentioning

confidence: 99%

“…In the trigger-driven mode, a sensor node senses the environment and wakes up the rest of the node once an event is detected. On the other hand, in the schedule-driven mode, the processor directly drives the sensor nodes so that the processor wakes up to sample the sensors according to a predetermined schedule [32]. In WSNs, the duty cycle is basically the ratio between the active period and the full active / dormant period of a sensor node.…”

Section: Lifetime Evaluations On Wireless Sensor Nodesmentioning

confidence: 99%

Performance Evaluations on UAV-Aided Automated Meter Reading

Tuna

2012

International Journal of Advanced Robotic Systems

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This paper presents a novel approach of using unmanned aerial vehicles (UAVs) for automated meter reading (AMR) applications in rural areas where there are a few consumers scattered across a wide area. Compared to traditional meter reading systems, the use of UAVs for AMR brings several advantages, such as low cost operation, flexibility and online system management. In this paper, the advantages of integrating an Inertial Navigation System (INS) and a Global Positioning System (GPS) receiver for a robust localization and navigation system for automated meter reading applications are investigated. In addition, the results of field tests related to the proposed navigation and localization system, and experimental studies on sensor node lifetime, are given to prove the effectiveness of the proposed system. The proposed system can be used by utility providers to extend or improve their services.

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“…This approach is therefore not real-time as post-facto processing is required. In addition component power dissipation is assumed to be constant throughout the duration of an operation [9]. This approximation may be adequate for very low-power components or very simple architectures.…”

Section: The Leaparchitecturementioning

confidence: 99%