Diabetes is long-lasting disease to causes a health care crisis , but it is challenging to predict without medical tests According to the International Diabetes Federation, there are currently 537 million people livin...
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Time series forecasting is crucial in numerous sectors, including healthcare, energy, and finance. Transformer models, initially designed for natural language processing applications, demonstrate potential in capturin...
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Since the implementation of Tobacco Hazards Prevention Act, the prohibition against smoking in public places tends to be stricter in Taiwan. Its emphasis level can be inferred from the frequent law amendments in recen...
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Communication networks provide a larger flexibility for control design of large-scale interconnected systems by allowing the information exchange between local controllers of the subsystems and may improve the overall...
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The vision-based Lane Detection and Departure Warning System is an effective way to prevent road accidents and ensure vehicle safety. However, in order to provide accurate and fast lane detection, it is very important...
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The widespread increase of photovoltaic panels in the distribution grid often leads to overvoltage. Traditional voltage regulation techniques are unfair for prosumers at the sensitive part of the grid due to larger po...
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Task scheduling in Cloud computing is a challenging aspect due to the conflicting requirements of end users of cloud and the Cloud Service Provider (CSP). The challenge at the CSP’s end is to schedule tasks submitted...
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In wireless sensor networks (WSNs), extending network lifetime while covering multiple targets in a given area is a challenging problem. In order to overcome this challenge, the authors address power management and se...
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We propose and evaluate an energy-efficient scheduling algorithm for detection of mobile targets in wireless sensor networks. We consider a setting where the sensors are deployed for both road surveillance and mobile ...
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ISBN:
(纸本)1595934715
We propose and evaluate an energy-efficient scheduling algorithm for detection of mobile targets in wireless sensor networks. We consider a setting where the sensors are deployed for both road surveillance and mobile target tracking. A typical example would be where some sensors are deployed along the entrance roads of a city to detect the vehicles entering the city and other sensors can wake up and track the vehicles after detection. We show an important relationship between the overall energy consumed by the sensors and the average detection time of a target, both of which are very critical aspects in our problem. To this end, we define the quality of surveillance (QoSv) as the reciprocal value of the average detection time for vehicles. We propose an optimal scheduling algorithm that guarantees the detection of every target with specified QoSv and at the same time minimizes the overall energy consumed by the sensor nodes. By minimizing the energy consumed, we maximize the lifetime of the sensor network. Also, along with the quality of surveillance guarantee, we ensure that no target goes undetected. We theoretically derive the upper bound on the lifetime of the sensor network for a given QoSv guarantee and prove that our method can always achieve this upper bound. Our simulation results validate the claims made on the algorithm optimality and QoSv guarantee. Copyright 2006 ACM.
In the automotive industry, accurate and efficient vehicle damage detection is crucial for reducing the cost of claims and improving assessment procedures. This paper presents an automated method for vehicle damage de...
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