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Modern high-rise buildings may be configured into spaces of widely varying specifications. This situation creates a diverse building environment with multiple variables that make fire hazards difficult to predict and monitor accurately. Therefore, developing and implementing an integrated fire disaster prevention system is necessary in order to effectively prevent fire disasters and adequately protect...
Inspired by Artificial Bee Colony algorithm (ABC), which is widely employed in various kinds of aspects. However, there is a lack of research on source seeking problem through ABC algorithm. This paper proposes a strategy which utilizes a swarm of robots to accomplish autonomous mutilple-source localization. The location method for the strategy is based on a kind of population based stochastic optimization...
The machine-to-machine (M2M) communication network is a promising concept to improve the user experience. The M2M communication enables two M2M devices in proximity of each other to establish a direct local link and bypass the base station. Machine-to-machine communication can be applied to various important fields, such as military applications, public safety, environmental monitoring, commercial...
To explore the energy efficient Machine-Type Communication (MTC) for 5G cellular systems, we developed a simulation platform to investigate the complete uplink procedures of energy-harvesting MTC devices in LTE-A (Long Term Evolution Advanced) system. Though the 3rd Generation Partnership (3GPP) has worked on LTE-A cellular standards in support of MTC transmission, the standards have not taken energy-harvesting...
An ultra-low power multi-rate FSK transmitter implemented in 0.18 μm CMOS process is presented. A digital frequency interpolator is adopted in the transmitter for achieving multiple data rate transmission. Power consumption of the transmitter is dependent on the required transmitted data rate. Thus, high power efficiency can be achieved. As applying for implantable or wearable biomedical devices,...
Wireless sensor networks observe the occurrences of concerned events by the collaboration between sensor nodes via wireless communication. Sensors are usually prone to errors due to the unstable conditions they are exposed to. The goal is to solve event boundary detection with faulty sensors (EBDF) problem which is to successfully identify the sensor nodes close to the event boundary when faulty sensors...
We use a Bayesian game-theoretic approach to model transmission control in energy-harvesting wireless sensor networks. In general, the energy state of an energy-harvesting sensor varies more dramatically with time as compared to traditional battery-powered sensors. Therefore, each energy-harvesting sensor is aware of its instantaneous energy state, which is modeled as its private information. Each...
In Wireless Sensor Networks (WSN) the sensor nodes are usually battery-powered, for which the energy consumption must be minimized in order to extend their working time. The energy consumption of RF front-ends is dominant in the whole communication system, so we must consider how to minimize it in the design. In this paper, we describe four kinds of RF front-end architectures, energy model of each...
Sensor node in wireless sensor networks, due to the unstable conditions they are exposed to, are usually prone to errors which cause the sensor readings to be faulty and usually pose problems on the reliability and security of the whole sensing systems. In this paper, we propose a distributed faulty sensor detection algorithm using entropy. Besides fault detection, our method also corrects the faulty...
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