Publish/Subscribe (Pub/Sub) systems have been used in traditional distributed computing applications to provide effective and efficient event services. Recently, the design of Pub/Sub systems are proposed for wireless...
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ISBN:
(纸本)9781424415014
Publish/Subscribe (Pub/Sub) systems have been used in traditional distributed computing applications to provide effective and efficient event services. Recently, the design of Pub/Sub systems are proposed for wireless sensornetworks (WSNs). Some of the proposed Pub/Sub protocols address the issue of establishing event delivery path with low routing cost by using geographic information. However, they have not considered how to reduce redundant event delivery, which may cause high resource consumption and poor system scalability. In this paper, we propose protocols which address both issues. More specifically, our protocols use geographic information to save routing cost, and meanwhile reduce redundant event delivery by letting the subscribers share the event delivery paths. Three highly scalable and efficient Pub/Sub protocols for WSNs, namely Shortest Delivery Path (SDP), Shortest Delivery Path with Lower Delivery Overhead (SDP-LDO), and Lowest Delivery Overhead (LDO), are designed to achieve different performance goals. The results of theoretical and experimental evaluation show that the proposed protocols can significantly improve the resource efficiency and scalability of a Pub/Sub system compared to the previous solutions. Our protocols can also be used to achieve a good tradeoff between the costs of event subscribing and event delivery.
Temperature and humidity information is an important quality index of communication system. A temperature and humidity sensor network is constructed based on Raspberry Pi development platform and temperature and humid...
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In this paper, the problem of fully-decentralized data fusion is addressed for tracking a target with nonlinear motion model. The problem is solved by applying a fully-decentralized estimation algorithm based on the e...
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ISBN:
(纸本)9781424407781
In this paper, the problem of fully-decentralized data fusion is addressed for tracking a target with nonlinear motion model. The problem is solved by applying a fully-decentralized estimation algorithm based on the extended information filter. We propose the Neighbor Selection and information Selection algorithms for sensor selection based on their closeness to the estimated target position and their information contribution, respectively. Simulation results show that compared to the DEIF algorithm we obtain an analogous response with less consumption of energy and computations.
The use of address vector quantisation (VQ) in the compression of linear predictive coded (LPC) and line spectral pairs (LSP) speech parameters in a speaker dependent system are examined. Four speakers are investigate...
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The advent of low cost, reliable sensor technology and ongoing dramatic improvements in computer price/performance have transformed the average manufacturing facility into a data- rich environment with millions of byt...
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ISBN:
(纸本)0819408743
The advent of low cost, reliable sensor technology and ongoing dramatic improvements in computer price/performance have transformed the average manufacturing facility into a data- rich environment with millions of bytes of production information stored daily. This production data contains valuable information about the process that can be used by a neural network to model, control, and optimize the plant dynamics. This paper presents a perspective on the use of neural networks and fuzzy logic technology and outlines the methods that have been used to improve process performance in several applications in chemical/petrochemical production facilities.
One of the possible causes for global warming is the human intervention in the environment. The increasing amount of industrial and residential contaminants in lakes and rivers is seriously harming the quality of the ...
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ISBN:
(纸本)9781424415014
One of the possible causes for global warming is the human intervention in the environment. The increasing amount of industrial and residential contaminants in lakes and rivers is seriously harming the quality of the water resources. In many countries, most of the sewage is directly sent to rivers or lakes, without any treatment. The impact on the environment of toxic waste, from a wide variety of manufacturing processes, is well known. More recently, however, it has become clear that the more subtle effects of nutrient level and chemical balance changes arising from farming land run-off and sewage water treatment also have a serious, but indirect, effect on the states of rivers, lakes and even the sea. This paper investigates the use of a hybrid Case Based Reasoning system for monitoring water quality based on chemical and physical parameters and algae population.
An inspection of signal processing approach in order to determine the number and distance of objects in the sea is conducted in this paper. In recent researches, a great emphasize is put on determining the number and ...
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ISBN:
(纸本)9781509029068
An inspection of signal processing approach in order to determine the number and distance of objects in the sea is conducted in this paper. In recent researches, a great emphasize is put on determining the number and distance of objects in the sea. But unfortunately, it's a difficult task due to the badly effect of high absorption, long propagation delay as well as dispersion. However, besides SONAR based techniques, some conventional techniques are also familiar to these aspects. In this research, we have proposed a statistical signal processing approach called Cross-correlation, due to its simplicity and convenience for any environment in the sea. The echo effect of CHIRP signal is used here to determine the number and distance of objects in such underwater networks where three sensors are located due to the task. We have verified this proposed theory by a simulation using MATLAB.
The proceedings contain 6 papers. The topics discussed include: caching context information in pervasive systems;supporting arbitrary Boolean subscriptions in distributed publish/subscribe systems;distributed data sto...
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ISBN:
(纸本)1595934189
The proceedings contain 6 papers. The topics discussed include: caching context information in pervasive systems;supporting arbitrary Boolean subscriptions in distributed publish/subscribe systems;distributed data storage for opportunistic grids;middleware support for transparency and user control in context-aware systems;reconfigurable middleware for sensor based applications;and using logical neighborhoods to enable scoping in wireless sensornetworks.
Data gathering in wireless sensornetworks is one of the essential tasks that has to be performed efficiently due to the sensors' limited processing, storage, and communication capabilities. When sensor nodes cont...
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ISBN:
(纸本)9781424418343
Data gathering in wireless sensornetworks is one of the essential tasks that has to be performed efficiently due to the sensors' limited processing, storage, and communication capabilities. When sensor nodes continuously sense and wirelessly transmit raw sensor readings, predicting such readings might be a promising approach to save energy. This paper examines two adaptive prediction algorithms called as Least Mean Square and Recursive Least Square, integrated in a data gathering framework. A comprehensive simulation study of these algorithms assuming Gaussian processes shows that significant communication savings while guaranteeing a user-defined maximum error can be achieved. Especially, low processing costs and memory usage favor these algorithms for practical sensor node implementations. Finally, we prove the wide applicability of our data gathering framework investigating different kinds of real world sensor traces.
Flash memory becomes more widespread storage medium for modern wireless sensor devices because of its effective characteristics. sensor nodes are highly resource constrained in terms of limited processing speed, runti...
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ISBN:
(纸本)9780769534077
Flash memory becomes more widespread storage medium for modern wireless sensor devices because of its effective characteristics. sensor nodes are highly resource constrained in terms of limited processing speed, runtime memory, persistent storage, communication bandwidth, and finite energy. An efficient and reliable file system is highly required, with consideration of sensor node constraints. In this paper, we propose a novel log structured NAND flash memory based file system, called Proceeding to Intelligent service-oriented memorY Allocation (PIYA), for data centric flash based sensor node devices. Main goals of PIYA scheme are allocation of memory to the sensor data by their business oriented rules, and to achieve the reduced SRAM space by keeping very low size of mapping information. The scheme intelligently samples and stores the raw data, and keeps the aggregate data for long time, than no other scheme has done before. The trace driven simulation results show the high performance of our scheme.
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