Having the possibility of routing messages only toward specific areas or subscribing to messages originating in specific locations seems natural when a publish-subscribe model of communication is adopted. Unfortunatel...
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Having the possibility of routing messages only toward specific areas or subscribing to messages originating in specific locations seems natural when a publish-subscribe model of communication is adopted. Unfortunately, very few work have investigated such kind of services and none of the most widely adopted publish-subscribe middleware implements them. In this paper we first classify possible location-based publish-subscribe services, then we describe an algorithm to efficiently implement them in a distributed publish-subscribe middleware.
Advances in computer science and communication technologies have helped people, businesses, and organizations interact faster and easier than ever before. In the future, computers will be required to play a lot more a...
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This paper1 proposes a workflow intelligence and quality improvement framework maximizing the workflow traceability and rediscoverability by analyzing the total sequences of the control-path perspective of a workflow ...
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sensor networks have emerged as a promising technology with various applications, and power consumption is one of the key issues. Since each full function device can act as a coordinator or a device in ieee 802.15.4 s...
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sensor networks have emerged as a promising technology with various applications, and power consumption is one of the key issues. Since each full function device can act as a coordinator or a device in ieee 802.15.4 standard, 802.15.4-based sensor networks have various possible network topologies. In this paper, we try to construct network topologies with small number of coordinators while still maintaining network connectivity. By reducing the number of coordinators, the average duty cycle is reduced and the battery life is prolonged. Three topology control algorithms are proposed in this paper. Self-pruning is the simplest one with O(l) running time. Ordinal pruning significantly improves self-pruning in terms of power saving with O(n) running time. Layered pruning is a tradeoff between the first two pruning algorithms with O(radicn) running time and a little higher power consumption than ordinal pruning. Furthermore, all three algorithms are independent of the physical radio propagation characteristics
In a pure sensor network thousands of sensors are distributed over a large area. sensor data is relayed from sensor node to node until it reaches the edge node, where it is then routed by wire to the host. In this pap...
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In a pure sensor network thousands of sensors are distributed over a large area. sensor data is relayed from sensor node to node until it reaches the edge node, where it is then routed by wire to the host. In this paper we study the effect of data collection on the battery and buffer of a sensor node, and on the overall sensor network. We determine the relationship among battery life, sampling frequency, buffer size, etc. We claim that using identical sensors throughout a large scale sensor network may not achieve the best result. We suggest some guidelines for deploying a large scale sensor network. We then propose routing algorithms that are robust, truly distributed, and efficient in utilizing the sensor network.
This paper presents a distributed model and the corresponding control algorithms for the cooperation and redeployment of mobile sensor networks. A mobile sensor network is composed of a collection of wireless connecte...
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This paper presents a distributed model and the corresponding control algorithms for the cooperation and redeployment of mobile sensor networks. A mobile sensor network is composed of a collection of wireless connected mobile robots equipped with a variety of sensors. The system can be rapidly deployed to hostile environment, inaccessible terrains or disaster relief operations. The mobile sensor network is essentially a cooperative multi-robot system. Delaunay triangulation (DT) is used to define the geometrical relationship between neighboring sensor nodes. Based on this distributed model, this paper discusses a fault tolerant algorithm for autonomous self-deployment of the mobile robots. The algorithm considers the environment constraints, and the presence of obstacles. The convergence of this algorithm is analyzed. The distributed algorithm enables the system to reconfigure itself such that the area covered by the system can be enlarged. Simulation results have shown the effectiveness of the distributed model and the deployment algorithms
Recent advances in processor, memory and radio technology have enabled cheap nodes capable of sensing, communication and processing. Networks of distributed micro sensors are rapidly emerging as a feasible solution to...
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Recent advances in processor, memory and radio technology have enabled cheap nodes capable of sensing, communication and processing. Networks of distributed micro sensors are rapidly emerging as a feasible solution to a wide range of data gathering applications. This work develops a framework for using a wireless ad hoc network of distributedsensors for detection and tracking of moving objects. Each sensor can monitor a wide variety of ambient conditions in other to detect the presence of target. We first propose algorithms which can lead a mobile sensor (or mobile sensors) to reach the exact position of the object which is not moving. We generalize this approach for target tracking using collaborative sensors.
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
A big challenge of designing and implementing a monitoring system for distributedsystems such as the computational grid is how to quickly and dynamically deploy and manage a large collection of monitoring sensors. Cu...
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A big challenge of designing and implementing a monitoring system for distributedsystems such as the computational grid is how to quickly and dynamically deploy and manage a large collection of monitoring sensors. Currently available monitoring systems often use the static sensor deployment mechanism, which makes the sensor deployment quite difficult and inefficient. We have developed an agent-based grid monitoring system that enables fast, dynamic, and on- demand sensor deployment and management. The monitoring system perfectly solves the problem of fast and dynamic sensor deployment using dynamic sensor loading mechanism. In addition, the monitoring system uses software agent technology to solve the problem of dynamic and on-demand sensor management.
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