The location information of sensor nodes is needed for location-based services and network management in wireless sensornetworks. Among the many kinds of localization schemes researched to find the location of sensor...
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ISBN:
(纸本)9781424415014
The location information of sensor nodes is needed for location-based services and network management in wireless sensornetworks. Among the many kinds of localization schemes researched to find the location of sensor nodes, a few some schemes presume the use of mobile beacons because using mobile beacons has many potentialities. In particular, a localization scheme with mobile beacons, such as proposed by Ssu et al. [5], has fine-grained accuracy, scalability. and power efficiency even without distance or angle information. To improve the localization accuracy encountered in Ssu's scheme, this paper proposes a localization scheme that estimates the location of a sensor node from a possible area where the sensor node is supposed to be, by using geometric constraints. Through simulation results, the proposed scheme is shown to provide higher localization accuracy and reduce the power consumption of sensor nodes by decreasing the communication overhead between sensor nodes and a mobile beacon in comparison to Ssu's scheme.
This paper proposed a contact recognition algorithm capable of determining contact surfaces types by tactile sensor fusion. This algorithm can recognize grasped objects using a 2-fingered robot hand, on which tactile ...
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ISBN:
(纸本)9781424415014
This paper proposed a contact recognition algorithm capable of determining contact surfaces types by tactile sensor fusion. This algorithm can recognize grasped objects using a 2-fingered robot hand, on which tactile sensors are mounted. Experiments have demonstrated reliable surface classification and accurate transformation independent of object shape and orientation. The contribution of this paper regards the relations between a surface and the points cloud defining it. Particularly, we investigate on the possibility that there is some intrinsic feature of a points cloud under Quadric surface, allowing us to discriminate or classify a dataset defining a surface from the acquisition noise.
In unreliable communication environments, traditional routing protocols designed for static wireless sensornetworks may fail to deliver data timely since link/node failures can be found out only after trying multiple...
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ISBN:
(纸本)9781424415014
In unreliable communication environments, traditional routing protocols designed for static wireless sensornetworks may fail to deliver data timely since link/node failures can be found out only after trying multiple transmissions. The main goal of the proposed protocol is to find more stable paths and to control the flooding overhead which will lead to higher level of scalability. This mechanism considers link stability for the route selection, which makes routing data more reliable and decreases the probability of retransmission, thus saves the energy and prolongs the lifetime of the whole network. In this work, we propose a cross-layer solution which utilises MAC layer information to improve routing mechanisms reliability and scalability in network layer.
This paper considers flow control and resource allocation problem as applied to heterogeneous sensornetworks with multipath routing. As heterogeneous sensornetworks consist of diverse sensor types and applications, ...
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ISBN:
(纸本)9781424415014
This paper considers flow control and resource allocation problem as applied to heterogeneous sensornetworks with multipath routing. As heterogeneous sensornetworks consist of diverse sensor types and applications, either elastic data collecting or real-time monitoring, the utility functions (a model of performance) of these applications do not consistently stay concave. By virtue of this, the traditional optimal flow control approach, which requires the utility function to be strictly concave, is no longer applicable. Therefore, we propose a novel utility-based flow control algorithm that is able to allocate the resources (both wireless channel usage and sensor node energy) efficiently and guarantee the application performance in a max-min fair manner Furthermore, by combining a first order Lagrangian method and filtering mechanism, the typical oscillation behavior for the multipath network is alleviated and a rapid convergence property is possessed.
sensornetworks are widely used for applications such as environmental monitoring, airports safety, health care, etc. Owing to the property of sensor devices, the sensornetworks are easily compromised by an attacker ...
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ISBN:
(纸本)9780769529943
sensornetworks are widely used for applications such as environmental monitoring, airports safety, health care, etc. Owing to the property of sensor devices, the sensornetworks are easily compromised by an attacker who sends forged or modified messages. Therefore, the security is very important in the sensornetworks. However, the traditional asymmetric cryptography such as Diffie-Hellman key agreement or RSA cryptography system are impractical for the sensor network due to limited computation, energy resources of sensor nodes, and network dynamics, etc. This paper will present a new efficient key pre-distribution scheme for secure wireless sensor network. It provides that any pair of sensor nodes can find a common secret key between them with simple calculation. Compared with previous proposed key pre-distribution schemes, the proposed method could significantly improve the performance and energy efficiency of the sensor nodes. It is very suitable for the sensor nodes that are limited in power, computational capacities, and memory.
An innovation way to detect and identify biomolecule encoding is studied and a practical optical-mechanical-electrical integrative sensor system is accomplished, for which, a comprehensive analysis of the spectrum inf...
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ISBN:
(纸本)9780819468802
An innovation way to detect and identify biomolecule encoding is studied and a practical optical-mechanical-electrical integrative sensor system is accomplished, for which, a comprehensive analysis of the spectrum information, grayscale information as well as the location information is conducted. In our system, a LED as a light source, is used to provide a uniform illumination, and a CCD image sensor is used to obtain gray grading information of biomolecule encoding chip. And then, Wavelet analysis technology is used to eliminate noise and smooth the image signals. The location of each encoding dot and its average gray can be realized automatically by means of these methods, the features of the biomolecule encoding can be identified. And all of the characteristics on molecule encoding are displayed on screen in several different ways finally. Compared with NMR and IR technique, our design of the system is small in size, easy to operate and low cost.
In sensornetworks, a device may operate on fuzzy inputs, thereby generating a result that possibly deviates from the reference datum in physical world being sensed. The extent of deviation (i.e., inaccuracy of data) ...
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ISBN:
(纸本)9781424415014
In sensornetworks, a device may operate on fuzzy inputs, thereby generating a result that possibly deviates from the reference datum in physical world being sensed. The extent of deviation (i.e., inaccuracy of data) and the time it takes to compute the output result (i.e., timeliness of data) depend on the number of orthogonal information elements processed from the sensed data. Due to the large dimensionality of input data, a sensor device may need to incur significant amounts of computation on a data and communication among with other devices to exchange pre-processed data. Since the sensor devices are often resource-constrained (i.e., have limited amount of processing cycles, memory sizes, and battery power), an important issue is the amount of computation and communication cycles a device can spend during data processing. The paper provides an information-theoretic discussion of the tradeoffs between the resources expended by a device to process its input data and the timeliness and accuracy of its output result. The goal is to provide quantitative methods of evaluating the tradeoffs, so that sensor devices can adapt their operations based on the resource availability.
For increasing demands on transceiving coverage, reliability and high resolution of sensing data in modem wireless sensor network applications, a novel digital transceiver scheme for wireless sensor node with integrat...
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ISBN:
(纸本)9781424418343
For increasing demands on transceiving coverage, reliability and high resolution of sensing data in modem wireless sensor network applications, a novel digital transceiver scheme for wireless sensor node with integration of WiMAX PHY QoS, and low-density parity check (LDPC) code had been proposed. It will be 67% energy saving to support high gain sensing amplifier thus to provide high resolution digitization of sensing data. With WiMAX based regulation, 30 mile transmission range and 74Mbps data rate for long range and high data rate wireless sensornetworks can be achieved.
In this paper, we propose a novel clustering approach for long-lived wireless sensornetworks. We use genetic algorithm to partition the adjacent nodes which will sense similar data into one cluster. With similar data...
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ISBN:
(纸本)0769529941
In this paper, we propose a novel clustering approach for long-lived wireless sensornetworks. We use genetic algorithm to partition the adjacent nodes which will sense similar data into one cluster. With similar data aggregation in the clusters, the amount of the data transmission in the network can be effectively reduced. Simulation results demonstrate that our proposed approach is effective in prolonging longer lifetime and higher throughput than the current important clustering protocols.
This paper presents the application of reinforcement learning-an unsupervised learning technique-to sensor scan optimisation for the purpose of multi-target tracking from helicopter platforms. The sensor considered in...
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ISBN:
(纸本)9781424415014
This paper presents the application of reinforcement learning-an unsupervised learning technique-to sensor scan optimisation for the purpose of multi-target tracking from helicopter platforms. The sensor considered in this paper is the forward looking IR (FLIR) sensor The potential for reinforcement learning based optimisation techniques to provide improved performance over deterministic scan pattern search methods is illustrated by way of simulation examples. Ground targets to be tracked by FLIR are modelled as Markovian processes. The optimisation problem is cast into a "sensor scheduling" framework to facilitate the use of reinforcement learning. Prioritisation of targets in multiple-target detection problems and targets of different threat levels are also considered and illustrated with simulation examples.
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