The second international conference on information Systems Design and intelligent Applications (INDIA – 2015) held in Kalyani, India during January 8-9, 2015. The book covers all aspects of information system design,...
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ISBN:
(数字)9788132222507
ISBN:
(纸本)9788132222491
The second international conference on information Systems Design and intelligent Applications (INDIA – 2015) held in Kalyani, India during January 8-9, 2015. The book covers all aspects of information system design, computer science and technology, general sciences, and educational research. Upon a double blind review process, a number of high quality papers are selected and collected in the book, which is composed of two different volumes, and covers a variety of topics, including natural language processing, artificial intelligence, security and privacy, communications, wireless and sensornetworks, microelectronics, circuit and systems, machine learning, soft computing, mobile computing and applications, cloud computing, software engineering, graphics and image processing, rural engineering, e-commerce, e-governance, business computing, molecular computing, nano-computing, chemical computing, intelligent computing for GIS and remote sensing, bio-informatics and bio-computing. These fields are not only limited to computer researchers but also include mathematics, chemistry, biology, bio-chemistry, engineering, statistics, and all others in which computer techniques may assist.
Wireless sensornetworks have become the focus of many recent researches focusing on topics like energy optimization, compression schemes, self-organizing network algorithms, routing protocols, quality of service mana...
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This abstract describes the first public demonstration of feedback control and coordination of multiple physical systems over a dynamic multi-hop low-power wireless network with update intervals of tens of millisecond...
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ISBN:
(纸本)9781728107271
This abstract describes the first public demonstration of feedback control and coordination of multiple physical systems over a dynamic multi-hop low-power wireless network with update intervals of tens of milliseconds. Our running system can dynamically change between different sets of application tasks (e.g., sensing, actuation, control) executing on the spatially distributed embedded devices, while closed-loop stability is provably guaranteed even across those so-called mode changes. Moreover, any subset of the devices can move freely, which does not affect closed-loop stability and control performance as long as the wireless network remains connected.
The aim of Wearable and implantable monitoring devices is to collect relevant data from the application-related environment, and transmit this information to the outside world. Modern microelectronics create ever incr...
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The aim of Wearable and implantable monitoring devices is to collect relevant data from the application-related environment, and transmit this information to the outside world. Modern microelectronics create ever increasing opportunities, but it is still true that sensors form the weakest elements in the entire chain of data collection and processing. The difficulty of deploying smart body sensornetworks is exacerbated by the hostile environments in which they are typically installed. In this paper, we propose a novel architecture for wearable and implantable body sensor systems that guarantees both real-time responsiveness and security. We rely on the wavelet packet transform to develop an intelligent session management scheme where a customizable frame structure allows multiplexing the set of sessions between the elementary sensors and the analysis center. We introduce a lightweight identity-based encryption protocol suitable for body smart sensor systems. We also present performance results using simulation experiments.
Recent advances in wireless sensornetworks have led to many new protocols specifically designed for sensornetworks where energy awareness is an essential consideration. Clustering is a key routing technique used to ...
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ISBN:
(纸本)9781424459841;9780769539737
Recent advances in wireless sensornetworks have led to many new protocols specifically designed for sensornetworks where energy awareness is an essential consideration. Clustering is a key routing technique used to reduce energy consumption. Clustering sensors into groups, so that sensors communicate information only to cluster-heads and then the cluster-heads communicate the aggregated information to the base station, saves energy and thus prolonging network lifetime. In this paper, we propose an energy efficient cluster-head selection algorithm for adapting clusters and rotating cluster head positions to evenly distribute the energy load among all the nodes. Our proposed model is extended to the LEACH's stochastic cluster-head selection algorithm by modifying the probability of each node to become cluster-head based on remaining energy level of sensor nodes for transmission. Simulation results show that our proposed model could better implement load balance and prolong the lifetime of the network.
We consider the use of binary proximity sensors for tracking targets. Such sensors provide only 1-bit information regarding a target's presence or absence in their vicinity, albeit with less than 100% reliability....
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We consider the use of binary proximity sensors for tracking targets. Such sensors provide only 1-bit information regarding a target's presence or absence in their vicinity, albeit with less than 100% reliability. A novel tracking method employing such binary sensors is proposed and its performance in different deployment scenarios evaluated. For a given target, the method utilizes the sensor outputs to estimate individual positions in the path of the target in the near past and finds the line which best fits the path points. This line is then used to estimate the target's current position. A performance study has been conducted through comprehensive simulation using parameters collected from a prototype deployment consisting of wireless micro-sensors with binary acoustic detectors.
Recent advances in acoustic sensors, microprocessors, local wireless communications, and low-cost global positioning satellite (GPS) receivers allow the creation of acoustic sensornetworks for target detection, track...
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Recent advances in acoustic sensors, microprocessors, local wireless communications, and low-cost global positioning satellite (GPS) receivers allow the creation of acoustic sensornetworks for target detection, tracking, and identification. In particular we describe the concept of robust acoustic sensors that exhibit the ability for self-calibration and self-location. Use of such sensors in a wireless, internetted development provides accurate multi-sensor target tracking and classification. This paper describes the concept and design of such sensors and networks. Particular attention is paid to how the environment affects the sensor performance and system performance. Initial simulator results are presented.< >
Anomalies in wireless sensornetworks can occur due to malicious attacks, faulty sensors, changes in the observed external phenomena, or errors in communication. Defining and detecting these interesting events in ener...
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Anomalies in wireless sensornetworks can occur due to malicious attacks, faulty sensors, changes in the observed external phenomena, or errors in communication. Defining and detecting these interesting events in energy-constrained situations is an important task in managing these types of networks. A key challenge is how to detect anomalies with few false alarms while preserving the limited energy in the network. In this article, we define different types of anomalies that occur in wireless sensornetworks and provide formal models for them. We illustrate the model using statistical parameters on a dataset gathered from a real wireless sensor network deployment at the Intel Berkeley Research Laboratory. Our experiments with a novel distributed anomaly detection algorithm show that it can detect elliptical anomalies with exactly the same accuracy as that of a centralized scheme, while achieving a significant reduction in energy consumption in the network. Finally, we demonstrate that our model compares favorably to four other well-known schemes on four datasets.
To act an appropriate response for intelligent system, it is necessary to obtain sufficient information as possible. Wireless sensornetworks technology is one of possible solutions that can provide intelligent system...
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To act an appropriate response for intelligent system, it is necessary to obtain sufficient information as possible. Wireless sensornetworks technology is one of possible solutions that can provide intelligent system with sensing information of specific task. However, a large number of data transmissions for a long period of time might cause sensor node to lose its functionality. This is because sensor nodes have the restriction of energy, computing capability, and communication bandwidth. Therefore, data aggregation mechanism is one of possible solutions to prolong the life time of sensor nodes. In this paper, we present an automatic routing scheme for data aggregation using geographic information. Clustering the entire interesting field and chaining interesting nodes with " virtual link " of which " virtual path " is composed are proposed. The simulation results show that the proposed method can effective save transmission energy and bandwidth utilization.
The advancement of technology in recent years significantly benefits the health care sector. The present computers can process large volumes of health care data related to patients. Wireless sensornetworks and wearab...
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