the number of active nodes in a WSN deployment governs boththe longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophistocated, it is i...
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the number of active nodes in a WSN deployment governs boththe longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophistocated, it is important that an accurate evaluation methodology is employed to ensure fair comparisons across different techniques. Examining both energy and accuracy ensures a claim of increased longevity for a particular technique can be contrasted against its associated drop, if any, in application accuracy. this change can also be as a result of increased latency and the accuracy encapsulates many aspects of WSN performance in one metric. In this work, we detail the first in a series of simulation experiments designed to demonstrate the tradeoffs for a WSN and we employ mobility tracking as the application to benchmark accuracy. Additionally, we demonstrate experimental evidence for a potential adaptive mobility tracking protocol.
Cyber-physical applications need to process a lot of sensor data, for example, to analyze traffic patterns and structural soundness of critical infrastructures. Although the amount of sensor data to process is increas...
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Cyber-physical applications need to process a lot of sensor data, for example, to analyze traffic patterns and structural soundness of critical infrastructures. Although the amount of sensor data to process is increasing fast, system support to efficiently store and analyze an extensive amount of sensor data largely lags behind. To efficiently store, retrieve, and process massive sensor data, we are developing a sensor data center (SDC) that supports spatio-temporal sensor data structures and parallel sensor data processing using clustered computational nodes composed of commodity hardware. the SDC sharply contrasts to most existing data centers that do not support spatio-temporal sensor data storage, retrieval, and processing. In this paper, we especially focus on the problem of potential load imbalance due to data access skews that adversely affects the timeliness of parallel sensor data processing. Specifically, we present an adaptive data replication method to address access skews in a SDC. In our performance evaluation performed in a preliminary version of a SDC, our adaptive approach substantially outperforms a baseline that does not support adaptive data replication.
Peer to peer is an important way for files sharing. In existing P2P systems, users need to query and retrieve files, and have to know some knowledge, such as file names, keywords or hash values, about those files befo...
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the paper presents a healthcare model based on cloud computing technology. this model includes wireless body area sensor networks (WBASNs), mobile applications and clouds. the application can be installed on a mobile ...
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For the stable operation of the power grid, temperature is one of the important criteria for considering its working performance. Moreover, accidents often occur in the joints of transmission lines, cables, busbars an...
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this paper presents a modeling and implementation method for complex robotic systems using multiple robots. Based on conceptual condition-event models of robotic activities, extended Petri nets are adopted as a tool f...
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ISBN:
(纸本)9781467327428
this paper presents a modeling and implementation method for complex robotic systems using multiple robots. Based on conceptual condition-event models of robotic activities, extended Petri nets are adopted as a tool for expressing independent and cooperative robotic tasks. Net models representing inter-task cooperation with synchronous interaction are implemented on hierarchical and distributed control architecture. the higher level controller executes a conceptual Petri net model representing cooperative behaviors in the system, and parallel activities of the local controllers are efficiently coordinated through the transmission of subtask commands and the reception of event status. Detailed software implementation of the inter-task cooperation in an example robotic cell, is provided.
sensor network security solutions that have been proposed so far are mostly built on the assumption of a trusted environment, which is not very realistic so we need trust management before deploying any other security...
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sensor network security solutions that have been proposed so far are mostly built on the assumption of a trusted environment, which is not very realistic so we need trust management before deploying any other security solution. Traditional trust management schemes that have been developed for wired and wireless ad-hoc networks are not suitable for wireless sensor networks because of higher consumption of resources such as memory and power. In this paper, we propose a novel lightweight group based trust management scheme (GTMS) for distributed wireless sensor networks in which the whole group will get a single trust value. Instead of using completely centralized or distributed trust management schemes, GTMS uses hybrid trust management approach that helps in keeping minimum resource utilization at the sensor nodes
In this paper, we propose an energy efficient protocol based on fuzzy logic to not only extend the network lifetime, but also increase the data transmission efficiency in wireless sensor networks. the proposed protoco...
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In this paper, we propose an energy efficient protocol based on fuzzy logic to not only extend the network lifetime, but also increase the data transmission efficiency in wireless sensor networks. the proposed protocol tries to select the cluster head by considering the current distance and residual energy withthe help of fuzzy inference system. Simulation is carried out using OMNeT++ to demonstrate that the proposed protocol performs better than the other existing ones in terms of energy consumption, network lifetime and number of packets received by the sink node.
Agents in a multi-agent system need to localize themselves and know the positions of the other agents for navigation and good coordination. In the outdoor environment, GPS can solve this problem;however indoors and in...
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