The proceedings contain 91 papers. The topics discussed include: attested genuineness in service oriented environments;BOSF: by-owner script filtering;arbitrated multiparty protocol;novel method for secure image deliv...
The proceedings contain 91 papers. The topics discussed include: attested genuineness in service oriented environments;BOSF: by-owner script filtering;arbitrated multiparty protocol;novel method for secure image delivery over mobile networks based on orthogonal transforms and scrambling algorithms;image recognition method based on discrete wavelet transform (DWT) and singular value decomposition (SVD);performance analysis under imperfect channel state information and inter-cell interference in LTE-advanced system;a novel data compression and suppression method based on DCT and overlapping for the wireless sensornetworks(WSN);and a structured aggregate signature scheme with pairing-based cryptography.
In this paper, the prison monitoring system is designed based on wireless sensor network technology. This system could not only monitor the relevant information about the vital signs of inmates in prison, but also rec...
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ISBN:
(纸本)9780769540207
In this paper, the prison monitoring system is designed based on wireless sensor network technology. This system could not only monitor the relevant information about the vital signs of inmates in prison, but also record and check the physical condition of personnel, activities, status and location information at any time, preventing inmates from committing suicide or escaping, and discovering whereabouts of the criminals once the jailbreak occurred. The application of wireless sensor network technology in the prison monitoring system enables the monitoring of the prison more comprehensive, more scientific and more effective.
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.
In recent years, various small sensor nodes have been devel- oped for recognizing real world situations and events for the development of context-aware systems. We consider that the acceleration sensor is one crucial ...
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ISBN:
(纸本)9781605583662
In recent years, various small sensor nodes have been devel- oped for recognizing real world situations and events for the development of context-aware systems. We consider that the acceleration sensor is one crucial element for recogniz- ing various types of situations because it has rich and simple information. An application system using acceleration data requires the following features: 1) rapid processing of data without large memory since the amount of acceleration data is much greater than the amount of other sensor data, 2) a node that reduces the amount of data sent to a server, and 3) systems that can be easily configured by users at low cost. Current sensor nodes, however, do not have enough func- tions to satisfy these requirements. We propose a rule-based data processing engine for processing acceleration data. Our proposed engine rewrites the rules on each node with a few bytes of data. We evaluated our rule-based engine on our small sensor node called the Motion sensing and Communi- cation Minimized Chip (MoCoMi-Chip). Copyright 2008 ACM.
In this paper, we study the source localization problem in wireless sensornetworks where the location of the source is estimated according to the quantized measurements received from sensors in the field. We propose ...
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ISBN:
(纸本)9781424451791
In this paper, we study the source localization problem in wireless sensornetworks where the location of the source is estimated according to the quantized measurements received from sensors in the field. We propose an energy efficient iterative source localization scheme, where the algorithm begins with a coarse location estimate obtained from a set of anchor sensors. Based on the available data at each iteration, we approximate the posterior probability density function (pdf) of the source location using a Monte Carlo method and we use this information to activate a number of non-anchor sensors that minimize the Conditional Posterior Cramer Rao Lower Bound (C-PCRLB). Then we also use the Monte Carlo approximation of the posterior pdf of the source location to compress the quantized data of each activated sensor using distributed data compression techniques. Simulation results show that the proposed iterative method achieves the mean squared error that gets close to the unconditional Posterior Cramer Rao Lower Bound (PCRLB) for a Bayesian estimate based on quantized data from all the sensors within a few iterations. By selecting only the most informative sensors, the iterative approach also reduces the communication requirements significantly and resulting in energy savings.
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.
Sphere decoding technique is an efficient fast algorithm for maximum likelihood (ML) detection. In this paper, we propose a new faster sphere decoding algorithm for multiple-input multiple-output (MIMO) systems that i...
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ISBN:
(纸本)0780382927
Sphere decoding technique is an efficient fast algorithm for maximum likelihood (ML) detection. In this paper, we propose a new faster sphere decoding algorithm for multiple-input multiple-output (MIMO) systems that its complexity is much less than the conventional algorithm. In. our method, the initial selection of sphere radius is not important. It will be shown that both the performance and the complexity of the proposed algorithm are simultaneously controlled by two parameters. Therefore, there is a trade-off between the performance and the complexity in the proposed algorithm. By computer simulations, we show that the performance of our method is very close to ML decoding algorithm. Furthermore, if we tolerate some degradation in the performance, we can speed up the proposed algorithm to ten times. Our results show that even in the fastest case, the novel decoder outperforms the V-BLAST decoding algorithm.
Ultra-dense Internet of Things (IoT) networks and machine type communications herald an enormous opportunity for new computing paradigms and are serving as a catalyst for profound change in the evolution of the Intern...
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ISBN:
(纸本)9781467389990
Ultra-dense Internet of Things (IoT) networks and machine type communications herald an enormous opportunity for new computing paradigms and are serving as a catalyst for profound change in the evolution of the Internet. We explore leveraging the communication within IoT to serve data processing by appropriately shaping the aggregate behavior of a network to parallel more traditional computation methods. This paper presents an element of this vision, whereby we map the operations of an artificial neural network onto the communication of an IoT network for simultaneous data processing and transfer. That is, we provide a framework to treat a network holistically as an artificial neural network, rather than placing neural networks within the network. The operation of components of a neural network, neurons and connections between neurons, are performed by the various elements of the IoT network, i.e., the devices and their connections. The proposed approach reduces the latency in delivering processed information and supports the locality of information inherent to IoT by removing the need for transfer to remote data processing sites.
We present a new design of wireless personal area network with physiological sensors for medical applications in telemedical environment. Intelligent wireless sensors perform data acquisition and limited processing. I...
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ISBN:
(纸本)078036449X
We present a new design of wireless personal area network with physiological sensors for medical applications in telemedical environment. Intelligent wireless sensors perform data acquisition and limited processing. Individual sensors monitor specific physiological signals (such as EEG, EGG, GSR, etc.) and communicate with each other and the personal server. Personal server integrates information from different sensors and communicates with the rest of telemedical system as a standard mobile unit. We present our prototype implementation of Wireless Intelligent sensor (WISE) based on a very low power consumption microcontroller and a DSP-based personal server. In future we expect all components of WISE integrated in a single chip for use in a variety of new medical applications and sophisticated human computer interfaces.
In this work, we develop a target coverage-aware clustering algorithm for directional sensornetworks, namely TRACE, that enhances the network lifetime. The TRACE nodes exploit single-hop neighborhood information only...
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ISBN:
(纸本)9781538637906
In this work, we develop a target coverage-aware clustering algorithm for directional sensornetworks, namely TRACE, that enhances the network lifetime. The TRACE nodes exploit single-hop neighborhood information only to elect cluster heads (CHs) and gateways. Thus, the TRACE is a fully distributed and light-weight clustering algorithm. The TRACE CHs greedily maximize the number of targets covered by as minimum number of sensor nodes as possible. The performances of the proposed TRACE system are studied on Network Simulator version 3 (ns- 3), and the results show that, it outperforms a state-of-the-art- work.
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