Traditional Chinese Medicine (TCM) has received considerable attention due to addressing its the real cause of the illness while western medicine treats symptoms. However, the TCM hospitals can not satisfy all those e...
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For a class of sensornetworks, the task is to monitor an underlying physical phenomenon over space and time through an imperfect observation process. The sensors can communicate back to a central data collector over ...
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For a class of sensornetworks, the task is to monitor an underlying physical phenomenon over space and time through an imperfect observation process. The sensors can communicate back to a central data collector over a noisy channel. The key parameters in such a setting are the fidelity (or distortion) at which the underlying physical phenomenon can be estimated by the data collector, and the cost of operating the sensor network. This is a network joint source-channel communication problem, involving both compression and communication. It is well known that these two tasks may not be addressed separately without sacrificing optimality, and the optimal performance is generally unknown. This paper presents a lower bound on the best achievable end-to-end distortion a's a function of the number of sensors, their total transmit power, the number of degrees of,freedom of the underlying source process, and the spatio-temporal communication bandwidth. Particular coding schemes are studied, and it is shown that in some cases, the lower bound is tight in a scaling-law sense. By contrast, it is shown that the standard practice of separating source from channel coding may incur an exponential penalty in terms of communication resources, as a function of the number of sensors. Hence, such code designs effectively prevent scalability. Finally, it is outlined how the results extend to cases involving missing synchronization and channel fading.
The rapid advancement in computing has enabled the development of low cost wireless sensornetworks (WSNs), and making WSNs one of the most important research areas. Based on the characteristics and major purpose of W...
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ISBN:
(纸本)9781424416523
The rapid advancement in computing has enabled the development of low cost wireless sensornetworks (WSNs), and making WSNs one of the most important research areas. Based on the characteristics and major purpose of WSNs, it has been proposed to integrate sensor network and database technologies to improve the management of data processed from sensornetworks. The distributed database is not a new research issue, but in case of WSN, there exists much extra difficulty because there are numerous constraints in WSNs comparing with traditional distributed database, such as limited energy, mobility and heterogeneity. This paper introduces the basic concept of query processing in WSN and how it is performed, presents the state-of-the-art by examining six current related projects, identifies the research challenges highlighted by major related projects, and looks at how the projects proposed to address those research challenges. It has been found that several limitations of the existing related approaches were emerged in mobile and heterogeneous WSN. This paper has also investigated these limitations and discussed the possible future research directions.
This paper presents a new data transmission protocol in Delay Tolerant Mobile Wireless sensornetworks, which divides the data transmission process into two phases: data reception phase and data forwarding phase, main...
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In this paper, a pioneering platform is introduced, which utilizes all the advantages of CPLDs in order to enhance the processing power of the sensor nodes and, more importantly, significantly reduce the overall energ...
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ISBN:
(纸本)9781424459896
In this paper, a pioneering platform is introduced, which utilizes all the advantages of CPLDs in order to enhance the processing power of the sensor nodes and, more importantly, significantly reduce the overall energy consumption in heavy demanding tasks such as routing and header processing. This new platform, accelerates the Cost Estimation algorithm of the XMesh routing protocol by 606 times. At the same time, and more importantly, there is a reduction in the measured energy consumption by 97%. Moreover, the proposed system can accelerate by three orders of magnitude the header checksum calculation scheme, while it consumes 96,33% less energy than the corresponding standard software implementations. Since this is the first time ever that such a hardware-based scheme is used in a WSN environment, we strongly believe that this paper can be a first reference for a new design paradigm for WSN nodes which will include CPLDs for the actual data/network processing.
In this paper we study the problem of information dissemination in dense multi-hop sensornetworks characterized by highly correlated sample measurements. In particular, we investigate the benefits, and trade-offs, of...
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ISBN:
(纸本)1581138466
In this paper we study the problem of information dissemination in dense multi-hop sensornetworks characterized by highly correlated sample measurements. In particular, we investigate the benefits, and trade-offs, of exploiting correlations via cooperatively compressing the data as it hops around the network. First, we study two extreme cooperation strategies, namely no cooperation and network-wide cooperation. We show that network-wide cooperation achieves logarithmic growth rate for the transport traffic with the network size whereas the schedule length growth rate remains linear. Next, we analyze a two-phase cooperation strategy which localizes cooperation within regions of the network in an attempt to assess the performance of strategies bounded by the two aforementioned extremes. Finally, we extend two-phase cooperation to a multi-phase hierarchical cooperation strategy where the number of phases depends on the number of nodes and the size of the cooperation set. The rationale behind this strategy is to achieve logarithmic scaling laws at the expense of more complexity in coordinating nodes' cooperation. In addition, hierarchical cooperation opens room for optimizing the transport traffic and schedule length for a given network size.
Wireless sensornetworks(WSN) is a hot spot of the research of wireless networks currently, the key of achieving efficient transmission business is to control node energy and improve the network lifetime in wireless s...
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We study network capacity limits and optimal routing algorithms for regular sensornetworks, namely, square and torus grid sensornetworks, in both, the static case (no node failures) and the dynamic case (node failur...
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ISBN:
(纸本)1581138466
We study network capacity limits and optimal routing algorithms for regular sensornetworks, namely, square and torus grid sensornetworks, in both, the static case (no node failures) and the dynamic case (node failures). For static networks, we derive upper bounds on the network capacity and then we characterize and provide optimal routing algorithms whose rate per node is equal to this upper bound, thus, obtaining the exact analytical expression for the network capacity. For dynamic networks, the unreliability of the network is modeled in two ways: a Markovian node failure and an energy based node failure. Depending on the probability of node failure that is present in the network, we propose to use a particular combination of two routing algorithms, the first one being optimal when there are no node failures at all and the second one being appropriate when the probability of node failure is high. The combination of these two routing algorithms defines a family of randomized routing algorithms, each of them being suitable for a given probability of node failure.
Device localization or positioning is a fundamental research issue in sensornetworks community. A small number of anchors that know their locations are used for supporting node localization. However, most localizatio...
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ISBN:
(纸本)9781424416523
Device localization or positioning is a fundamental research issue in sensornetworks community. A small number of anchors that know their locations are used for supporting node localization. However, most localization schemes aimed at static sensornetworks and can not be forthrightly applied to mobile sensornetworks. This paper proposes a distributed range-free. localization scheme which is extended from the MAP scheme [1] for mobile sensors. In this scheme, each anchor broadcasts its location information as it moves within the sensing field. Each sensor node then estimates its own location by applying basic geometry principles to the location information. The scheme removes the requirement for specific ranging hardware, avoids the need for any interaction between the individual sensor nodes, and is independent of network densities. The scheme has been evaluated based on the network simulator ns-2. The simulation results demonstrate that the localization scheme significantly improves the MAP scheme.
An algorithm for an energy-efficient communication, the Average Load Distance (AID) communication, to forward data from sensor to the cluster head in a hierarchal wireless sensor network is proposed. The objective of ...
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ISBN:
(纸本)9781424416875
An algorithm for an energy-efficient communication, the Average Load Distance (AID) communication, to forward data from sensor to the cluster head in a hierarchal wireless sensor network is proposed. The objective of the AID is to prolong the network life-time without additional computational overhead. Implementation of the algorithm indicates that the proposed mode can be up to 88% more efficient over direct mode of communication with regard to per-round maximum energy consumption., An application study shows that AID can save up to 47% of wireless sensornetworks operational cost when compared to direct mode transmission.
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