Energy-efficient topology control for wireless sensor networks using online battery monitoring

Behrens, Christian; Bischoff, Ole; Lueders, Michael; Laur, R.

doi:10.5194/ars-5-205-2007

Cited by 14 publications

(10 citation statements)

References 3 publications

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“…"C. Behrens el al." [10] addressed the energy conservation topic from the different point of view. They studied the effect of temperature on batteries life time and developed a computationally linear model which is capable of calculating the residual energy as a function of temperature directly on the sensing node.…”

Section: A Wireless Sensor Networkmentioning

confidence: 99%

Design of a Prediction System for Hydrate Formation in Gas Pipelines using Wireless Sensor Network

Moukhtar¹,

Hamdy²,

Salem³

2016

ijacsa

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Abstract-Before the evolution of the Wireless Sensor Networks (WSN) technology, many production wells in the oil and gas industry were suffering from the gas hydration formation process, as most of them are remotely located away from the host location. By taking the advantage of the WSN technology, it is possible now to monitor and predict the critical conditions at which hydration will form by using any computerized model. In fact, most of the developed models are based on two well-known hand calculation methods which are the Specific gravity and K-Factor methods. In this research, the proposed work is divided into two phases; first, the development of a three prediction models using the Neural Network algorithm (ANN) based on the specific gravity charts, the K-Factor method and the production rates of the flowing gas mixture in the process pipelines. While in the second phase, two WSN prototype models are designed and implemented using National Instruments WSN hardware devices. Power analysis is carried out on the designed prototypes and regression models are developed to give a relation between the sensing nodes (SN) consumed current, Node-to-Gateway distance and the operating link quality. The prototypes controller is interfaced with a GSM module and connected to a web server to be monitored via mobile and internet networks.

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Section: A Wireless Sensor Networkmentioning

confidence: 99%

Design of a Prediction System for Hydrate Formation in Gas Pipelines using Wireless Sensor Network

Moukhtar¹,

Hamdy²,

Salem³

2016

ijacsa

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“…During transport sensors cannot not be removed, but they can be put to sleep this way augmenting the life time of the batteries. The sensor nodes measure their remaining energy; the routing may be changed in the way to allow nodes with weak batteries to sleep (Behrens, 2007). Also the dynamic behaviour of the temperature is analysed to adapt the duty cycle to the situation.…”

Section: Management Of Sensor Nodesmentioning

confidence: 99%

The Intelligent Container - A Cognitive Sensor Net for Fruit Logistics

Lang

Janssen²,

Jedermann³

2014

Proceedings of the 3rd International Conference on Sensor Networks

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The Intelligent Container is a wireless sensor network for the control of perishable goods such as vegetables, fruits or meat. Several data interpretation tools are implemented in the sensor nodes. These can estimate temperature related quality losses, supervise sensor deployment and measurement intervals, and detect malfunctioning sensors. In order to retrieve information about the ripening directly from the transported fruits, the ripening indicator ethylene is detected using a newly developed highly sensitive and selective gas measurement system. The intelligent container allows the realisation of the new logistic paradigm of dynamic FEFO (First Expire First Out): the remaining life time-estimated shelf life-of the transported fruits is used to control the logistic process. This paper describes the developments performed on the Intelligent Container by the University of Bremen and its partners.

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“…Currently, no logistical WSN solution is available off-the-shelf. Our own hardware development was started by the ITEM, one of our partner institutes at the University Bremen with the aim to prolong service intervals by use of ultra low power hardware components and communication planning based on energy budget monitoring (Behrens et al, 2007).…”

Section: Online Access By Wireless Sensor Networkmentioning

confidence: 99%

Semi-passive RFID and beyond: steps towards automated quality tracing in the food chain

Jedermann

Lang

2007

IJRFITA

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Precise temperature monitoring is the major precondition to supervise quality losses within the transport chain for fresh products. Different types of miniaturised data loggers with electrical and semi-passive RFID interface were compared and applied to record spatial temperature profiles for typical transport situations. The resulting effects of the found temperature variations were evaluated by mathematical shelf-life modelling. Wireless sensor networks with active communication offer permanent access to sensor condition but entail higher system costs. Different approaches for implementation of integrated quality assessment will be discussed using a concept for shelf-life calculation on RFID-level and the intelligent container as demonstrator for an automated transport supervision system.

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Energy-efficient topology control for wireless sensor networks using online battery monitoring

Cited by 14 publications

References 3 publications

Design of a Prediction System for Hydrate Formation in Gas Pipelines using Wireless Sensor Network

Design of a Prediction System for Hydrate Formation in Gas Pipelines using Wireless Sensor Network

The Intelligent Container - A Cognitive Sensor Net for Fruit Logistics

Semi-passive RFID and beyond: steps towards automated quality tracing in the food chain

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