Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and experimental results to show the feasibility of wireless sensor networks to be used in this context...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and experimental results to show the feasibility of wireless sensor networks to be used in this context. To select the most suitable data collection protocol for the specific noise monitoring application scenario, we evaluated the energy consumption performances of the CTP (Collection Tree Protocol) and DMAC protocols. Our results show that CTP, if used enabling the LPL (Low Power Listening) option, provides the better performances trade-off for noise monitoring applications.
To extend the lifetime of wireless sensor networks a power-aware design of the communication units is required. this can be accomplished by employing power-controllable impulse radio ultra-wideband (IR-UWB) transceive...
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ISBN:
(纸本)9781424424887
To extend the lifetime of wireless sensor networks a power-aware design of the communication units is required. this can be accomplished by employing power-controllable impulse radio ultra-wideband (IR-UWB) transceivers. In this paper, two distributed power control algorithms are suggested that are based on a variation of IR-UWB specific parameters. the iterative algorithms converge to the optimal transmit power levels for all nodes of a given network topology. the global transmission power can be further reduced by the construction of a network hierarchy. For this purpose a topology control algorithm is proposed that can be combined withthe power control procedures. this combination realises an efficient application specific multiple access scheme for IR-UWB sensor networks.
On developing prototype,;of multisensor surveillance systems, It Is necessary to apply various types or statistical and numerical computing algorithms in analyzing sensor data. In addition, most of the algorithm imple...
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ISBN:
(纸本)9784907764319
On developing prototype,;of multisensor surveillance systems, It Is necessary to apply various types or statistical and numerical computing algorithms in analyzing sensor data. In addition, most of the algorithm implementation includes complex, numerical computing processes. Hence, implementing and applying various algorithms are tiresome tasks by application developers. To save time and manpower on creating the prototypes, we have been developing sensorD/Stat, an extension of sensor-Event-Driven Service Coordination Middleware (sensorD). In the sensorD/Stat system, sensorD cooperatively works with R, which Is an open source statistical computing and graphic environment. Using both spatio-temporal sensor data management of sensorD and statistical and numerical analyses of R, developers can rapidly create prototypes of indoor multisensor surveillance systems. In this paper, we show the outline of sensorD/Stat and a prototype of a room temperature monitoring system as a preliminary result of sensorD/Stat.
In sensor networks, sensors are prone to be compromised by attackers because they are deployed in an unattended environment. then, attackers can employ the keys of the compromised sensors to uncover the sensor reading...
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ISBN:
(纸本)9780769534923
In sensor networks, sensors are prone to be compromised by attackers because they are deployed in an unattended environment. then, attackers can employ the keys of the compromised sensors to uncover the sensor readings and even modify them to lead an unsuitable decision of the user. To resolve the problem, it is important to refresh communication keys of sensors in a periodic or on-demand manner. In this paper, we propose a key refreshment scheme which is immune to the increase of the compromised nodes. In our scheme, each member in a cluster uses a pairwise key which is different from those of other members, so the compromise of a sensor reveals no transmissions from other members. Besides, our scheme explicitly evicts the compromised sensors by virtue of periodic cluster reformations. Simulation results showed that our scheme is more tolerant to the compromised sensors while it is more energy-efficient than SHELL.
Contour maps, showing topological distribution of extracted features, are crucial for many applications. Building a dynamic contour map in a wireless sensor network is a challenging task due to the constrained network...
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Nodes in a sensor network, operating on power limited batteries, must save power to minimize the need for battery replacement. In this paper, we study the power efficiency issues related to geographic broadcast protoc...
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ISBN:
(纸本)9781424425747
Nodes in a sensor network, operating on power limited batteries, must save power to minimize the need for battery replacement. In this paper, we study the power efficiency issues related to geographic broadcast protocols in wireless sensor networks. Specifically, we study the problems in existing flooding based and pruning based broadcast algorithm and propose a new Geographic Power Efficient Broadcast algorithm to reduce the overlaps of broadcast coverage area and thus the total power consumption. the proposed algorithm is a hybrid protocol that combines broadcasts of maximum transmission radio range and forwards of much smaller transmission radio range. through simulation, we show that the GPEB protocol proposed in this paper can save total power consumption up to 23% compared to existing geographic broadcast protocols.
In this paper the problem of tracking cooperative mobile nodes in wireless sensor networks is addressed. Aiming at an efficient resource solution, the research adopts a strategy of combining target tracking with node ...
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ISBN:
(纸本)9781424425747
In this paper the problem of tracking cooperative mobile nodes in wireless sensor networks is addressed. Aiming at an efficient resource solution, the research adopts a strategy of combining target tracking with node selection procedures in order to select informative sensors to minimize the energy consumption of the tracking task. We devise a cluster-based architecture to address the limitations in computational, battery power and communications of the sensor devices. To track mobile nodes two kinds of particle filters, bootstrap and unscented particle filter, are considered to estimate the actual position and predict future locations. the particle filters have been already used in tracking algorithms, but their energy efficiency has received less attention. To save energy, a node selection procedure is proposed. the node selection problem is formulated as a cross-layer optimization problem and it is solved using greedy algorithms.
Wireless sensor networks are increasingly being used in environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consumption. this is especially true when the applica...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
Wireless sensor networks are increasingly being used in environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consumption. this is especially true when the application requires specialized sensors that have very high energy consumption, e.g. hydrological sensors for monitoring marine environments. We describe an adaptive sensor sampling scheme where nodes change their sampling frequencies autonomously based on the variability of the measured parameters. the sampling scheme also meets the user's sensing coverage requirements by using information provided by the underlying MAC protocol. this allows the scheme to automatically adapt to topology changes. Our results based on real and synthetic data sets, indicate a reduction in sensor sampling by up to 93%, reduction in message transmissions by up to 99% and overall energy savings of up to 87%. We also show that generally more than 90% of the collected readings fall within the user-defined error threshold.
sensor network simulators are important tools for the design, implementation and evaluation of wireless sensor networks. Due to the large computational requirements necessary for simulating wireless sensor networks wi...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
sensor network simulators are important tools for the design, implementation and evaluation of wireless sensor networks. Due to the large computational requirements necessary for simulating wireless sensor networks with high fidelity, many wireless sensor network simulators, especially the cycle accurate ones, employ distributed simulation techniques to leverage the combined resources of multiple processors or computers. However, the large overheads in synchronizing sensor nodes during distributed simulations of sensor networks result in a significant increase in simulation time. In this paper, we present a novel technique that could significantly reduce such overheads by minimizing the number of sensor node synchronizations during simulations. We implement this technique in Avrora, a widely used parallel sensor network simulator, and achieve a speedup of up to 11 times in terms of average simulation speed in our test cases. For applications that have lower duty cycles, the speedups are even greater since the performance gains are proportional to the sleep times of the sensor nodes.
We investigate how to maximize network lifetime by devising a task assignment protocol that balances task load on sensors based on their remaining energy. First, we show that energy-unaware protocols can excessively a...
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ISBN:
(纸本)9781424425747
We investigate how to maximize network lifetime by devising a task assignment protocol that balances task load on sensors based on their remaining energy. First, we show that energy-unaware protocols can excessively assign tasks to a set of sensors more than others. Consequently, the energy of those heavily loaded sensors will be depleted much faster than lightly loaded ones. this results in reducing network density around heavily loaded sensors and eventually creates energy holes that isolate the network into separated islands. this kind of behavior has its negative impacts on network durability and reliability. To avoid these problems, we propose a management protocol that assigns tasks to sensors based on their remaining energy so that energy consumption is almost even among network sensors.
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