Our group has proposed a new communication technology named "Two-Dimensional Communication" for high-density indoor sensor networks. In this paper, we propose a method to detect the positions and orientation...
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ISBN:
(纸本)9784907764319
Our group has proposed a new communication technology named "Two-Dimensional Communication" for high-density indoor sensor networks. In this paper, we propose a method to detect the positions and orientations of sensor nodes placed on the Two-Dimensional Signal Transmission sheet (2DST sheet). First, we introduce the scheme of encoding the position information on the 2DST sheet. Next, we analyze the electromagnetic field modulation by the conductive mesh pattern on the 2DST sheet, and describe the proposed method that determines the sensor locations from the measured electric field pattern. Finally, we show the results of several fundamental experiments to confirm this principle.
Photovoltaic systems (PV) are becoming one of the most developing investment areas in the field of Renewable Energy Sources (RES). Environmental pollution renders the need for covering energy demands by renewable sour...
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ISBN:
(纸本)9781424417438
Photovoltaic systems (PV) are becoming one of the most developing investment areas in the field of Renewable Energy Sources (RES). Environmental pollution renders the need for covering energy demands by renewable sources more imperative than ever. the aim of the paper is to use the estimated power production of PV units in order to evaluate the potential improvement of Loss of Load Probability (LOLP) and Loss of Energy Probability (LOEP). this analysis is implemented for the Interconnected Greek Transmission System (IGTS). the power output of PV units in Greece is calculated and the expected reduction of the above indices is demonstrated. Furthermore, peak shaving for the IGTS by the use of PV units is also illustrated. Finally, reliability improvement is expressed in terms of profit by comparing the cost for every kWh produced by PV units to the corresponding cost for every kWh produced by expensive units, which would otherwise cover a proportion of peak load demand.
An algorithm is presented to absolutely registration two 3-D sensors using targets that are tracked by bothsensors. the algorithm estimates and removes sensor biases and sensor frame orientation errors, For illustrat...
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In this paper, we present MRL-QRP, a multi-agent reinforcement learning based routing protocol with QoS support for wireless sensor networks. In MRL-QRP, sensor node cooperatively computes QoS routes using a distribut...
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ISBN:
(纸本)9781424424887
In this paper, we present MRL-QRP, a multi-agent reinforcement learning based routing protocol with QoS support for wireless sensor networks. In MRL-QRP, sensor node cooperatively computes QoS routes using a distributed value function - distributed reinforcement learning algorithm (DVF-DRL). Global optimization can be achieved by using locally observed network information and limited exchanging of state values with immediate neighboring nodes. We compare the network performance of MRL-QRP with QoS-AODV, an on demand QoS support routing protocol. the impact of network traffic load and sensor node's mobility on the network performance are investigated, simulation results show that MRL-QRP performs well in respects of a number of QoS metrics and fits well in highly dynamic environments.
We present a protocol for secure data aggregation in wireless sensor networks that offers end-to-end data confidentiality by using homomorphic functions and interleaved encryption. Hop-by-hop aggregation in sensor net...
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We consider a mobile sensor network monitoring a spatio-temporal field. Given limited caches at the sensor nodes, the goal is to develop a distributed cache management algorithm to efficiently answer queries with a kn...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
We consider a mobile sensor network monitoring a spatio-temporal field. Given limited caches at the sensor nodes, the goal is to develop a distributed cache management algorithm to efficiently answer queries with a known probability distribution over the spatial dimension. First, we propose a novel distributed information theoretic approach assuming knowledge of the distribution of the monitored phenomenon. Under this scheme, nodes minimize an entropic utility function that captures the average amount of uncertainty in queries given the probability distribution of query locations. Second, we propose a correlation-based technique, which only requires knowledge of the second-order statistics, relaxing the stringent constraint of a priori knowledge of the query distribution, while significantly reducing the computational overhead. We show that the proposed approaches considerably improve the average field estimation error. Further, we show that the correlation-based technique is robust to model mismatch in case of imperfect knowledge of the underlying generative correlation structure.
A wireless sensor network can be formed by nodes from different manufacturers, as long as their radio component enables communication with each other. Sometimes it is necessary to change the program in the nodes and s...
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Withthe ultimate goal of extending the data integration paradigm and query processing capabilities to ad hoc wireless networks, sensors, and stream systems, we consider how to support communication between sets of no...
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ISBN:
(纸本)9781605582849
Withthe ultimate goal of extending the data integration paradigm and query processing capabilities to ad hoc wireless networks, sensors, and stream systems, we consider how to support communication between sets of nodes performing distributed joins in sensor networks. We develop a communication model that enables in-network join at a variety of locations, and which facilitates coordination among nodes in order to make optimization decisions. While we defer a discussion of the optimizer to future work, we experimentally compare a variety of strategies, including at-base and in-network joins. Results show significant performance gains versus prior work, as well as opportunities for optimization. Copyright 2008 ACM.
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an energy-efficient initial placement of ...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an energy-efficient initial placement of these tasks onto the nodes of the target network poses a set of interesting problems. We present a framework to model this task-mapping problem arising in WSN macroprogramming. Our model can capture task placement constraints, and supports easy specification of energy-based optimization goals. Using our framework, we provide mathematical formulations for the task-mapping problem for two different metrics - energy balance and total energy spent. Due to the complex nature of the problems, these formulations are not linear. We provide linearization heuristics for the same, resulting in mixed-integer programming (MIP) formulations. We also provide efficient heuristics for the above. Our experiments show that the our heuristics give the same results as the MIP for real-world sensor network macroprograms, and show a speedup of up to several orders of magnitude.
We describe LiveNet, a set of tools and analysis methods for reconstructing the complex behavior of a deployed sensor network. LiveNet is based on the use of multiple passive packet sniffers co-located withthe networ...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
We describe LiveNet, a set of tools and analysis methods for reconstructing the complex behavior of a deployed sensor network. LiveNet is based on the use of multiple passive packet sniffers co-located withthe network, which collect packet traces that are merged to form a global picture of the network's operation. the merged trace can be used to reconstruct critical aspects of the network's operation that cannot be observed from a single vantage point or with simple application-level instrumentation. We address several challenges: merging multiple sniffer traces, determining sniffer coverage, and inference of missing information for routing path reconstruction. We perform a detailed validation of LiveNet's accuracy and coverage using a 184-node sensor network testbed, and present results from a real-world deployment involving physiological monitoring of patients during a disaster drill. Our results show that LiveNet is able to accurately reconstruct network topology, determine bandwidth usage and routing paths, identify hot-spot nodes, and disambiguate sources of packet loss observed at the application level.
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