sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplified models in which utility from multip...
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ISBN:
(纸本)9783642020841
sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplified models in which utility from multiple sensors is assumed to combine additively. In this paper we study more complex utility models, focusing on two particular applications: event detection and target localization. We develop distributed algorithms to assign directional sensors of different types to multiple simultaneous tasks using exact location information. We extend our algorithms by introducing the concept of fuzzy location which may be desirable to reduce computational overhead and/or to preserve location privacy. We show that our schemes perform well using both exact or fuzzy location information.
Wireless Multimedia sensor Networks (WMSNs) are used in many application domains, such as surveillance systems, telemedicine and so on. In order to ensure a broad deployment of such innovative services, strict require...
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The cluster-based routing of wireless sensor networks (WSNs) requires secure, robust protocols for wireless communication. Unfortunately, existing protocols are unsuitable due to the limited storage space of nodes. Al...
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Wireless sensor networks are evolving from relatively undemanding applications to applications which have stronger requirements. The coordination of distributed entities and events requires time synchronization. Altho...
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The proceedings contain 70 papers. The topics discussed include: an adaptive rate control mechanism for congestion avoidance in wireless body area networks;a new attribute reduction algorithm dealing with the incomple...
ISBN:
(纸本)9781424452187
The proceedings contain 70 papers. The topics discussed include: an adaptive rate control mechanism for congestion avoidance in wireless body area networks;a new attribute reduction algorithm dealing with the incomplete information system;an effective multi-classifier strategy for attributes matching in heterogeneous databases;the application of the data mining based on adaptive immune algorithm for power transformer fault diagnosis;a novel cross layer design approach for video transmission over wireless ad hoc networks;exponential random geometric graph process models for mobile wireless networks;the implementation and performance analysis of mobile multicast in WLAN environments;time synchronization with fast asynchronous diffusion in wireless sensor network;towards service composition middleware embedded in web browser;and secure mobile agent protocol by using signcryption schemes.
Today the construction of wireless sensing systems requires the use of rather high-priced pieces of hardware and the assembly of these hardware parts (wireless transmission core, sensor module, gateway device), as wel...
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Wireless sensor networks (WSNs) have recently gained a great deal of attention as a topic of research, with a wide range of applications being explored. Bulk data dissemination is a basic building block for sensor net...
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ISBN:
(纸本)9783642020841
Wireless sensor networks (WSNs) have recently gained a great deal of attention as a topic of research, with a wide range of applications being explored. Bulk data dissemination is a basic building block for sensor network applications. The problem of designing efficient bulk data dissemination protocols has been addressed in a number of recent studies. The problem of mathematically analyzing the performance of these protocols, however, has not been addressed sufficiently in the literature. In this work, we show a way of analyzing mathematically the performance of bulk data dissemination protocols in WSNs. Our model can be applied to general networks by use of the shortest propagation path. Our model is accurate by considering topological information, impact of contention, and impact of pipelining. We validate the analytical results through detailed simulations, and we find the analytical results fit well with the simulation results. Further, we demonstrate that the analytical results can be used to aid protocol design for performance optimizations, e.g., page size tuning for shortening the completion time.
sensor networks deployed for scientific data acquisition must inspect measurements for faults and events of interest. Doing so is crucial to ensure the relevance and correctness of the collected data. In this work we ...
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ISBN:
(纸本)9783642020841
sensor networks deployed for scientific data acquisition must inspect measurements for faults and events of interest. Doing so is crucial to ensure the relevance and correctness of the collected data. In this work we unify fault and event detection under a general anomaly detection framework. We use machine learning techniques to classify measurements that resemble a training set as normal and measurements that significantly deviate from that set as anomalies. Furthermore, we aim at an anomaly detection framework that can be implemented on motes, thereby allowing them to continue collecting scientifically-relevant data even in the absence of network connectivity. The general consensus thus far has been that learning-based techniques are too resource intensive to be implemented on mote-class devices. In this paper, we challenge this belief We implement an anomaly detection algorithm using Echo State Networks (ESN), a family of sparse neural networks, on a mote-class device and show that its accuracy is comparable to a PC-based implementation. Furthermore, we show that ESNs detect more faults and have fewer false positives than rule-based fault detection mechanisms. More importantly, while rule-based fault detection algorithms generate false negatives and misclassify events as faults, ESNs are general, correctly identifying a wide variety of anomalies.
The ongoing advance in micro technologies gives rise to increasingly versatile and capable sensors as well as unprecedented computational power and communication options in diminishing scale. The notion of smart dust ...
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ISBN:
(纸本)9783642030390
The ongoing advance in micro technologies gives rise to increasingly versatile and capable sensors as well as unprecedented computational power and communication options in diminishing scale. The notion of smart dust summarizes ubiquitous computing and sensing application systems, which can serve for local as well as global information acquisition and decision making. For off-the-shelf-nodes, and even more for dedicated physical designs, the system design process becomes increasingly challenging and potentially intractable. Automated design methods emerging for intelligent systems are introduced as a remedy. These considerations will be extended to variations, that multiple system instances have to face in real-world applications and potential compensation by incorporation of self-x properties. These concepts are elucidated for the case of reconfigurable and evolvable sensor electronics. Finally, an application perspective of the presented approach for integrated distributed sensing in home automation, assisted living, and in particular, smart kitchen applications, denoted as culinary assistance systems will be presented.
Deterministic deployment of distributedsensor networks (DSNs) is sometimes impractical in situations where a global map of the environment is either unavailable or of little use because the environment is dynamic or ...
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