In this paper, we present transmission power control algorithms, based on soft computing techniques, for reducing the energy consumption in wireless sensor network, without affecting its throughput. Two algorithms are...
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ISBN:
(纸本)9783319119328
In this paper, we present transmission power control algorithms, based on soft computing techniques, for reducing the energy consumption in wireless sensor network, without affecting its throughput. Two algorithms are designed, one using Artificial Neural Network (ANN) and the other using Fuzzy Logic Control (FLC). The algorithms show marked improvement in performance when compared to the conventional Medium Access Control protocol standardieee 802.15.4. We also show the effects of optimizing the proposed methods further using Genetic Algorithm Keywords: Wireless sensor network, Transmission
The challenges involved in designing a wireless Vision sensor Node include the reduction in processing and communication energy consumption, in order to maximize its lifetime. This work presents an architecture for a ...
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ISBN:
(纸本)9781467347211
The challenges involved in designing a wireless Vision sensor Node include the reduction in processing and communication energy consumption, in order to maximize its lifetime. This work presents an architecture for a wireless Vision sensor Node, which consumes low processing and communication energy. The processing energy consumption is reduced by processing lightweight vision tasks on the VSN and by partitioning the vision tasks between the wireless Vision sensor Node and the server. The communication energy consumption is reduced with Region Of Interest coding together with a suitable bi-level compression scheme. A number of different processing strategies are investigated to realize a wireless Vision sensor Node with a low energy consumption. The investigation shows that the wireless Vision sensor Node, using Region Of Interest coding and CCITT group4 compression technique, consumes 43 percent lower processing and communication energy as compared to the wireless Vision sensor Node implemented without Region Of Interest coding. The proposed wireless Vision sensor Node can achieve a lifetime of 5.4 years, with a sample period of 5 minutes by using 4 AA batteries.
In this paper, we present an approach to clustering sensor nodes based on a quantum Artificial Bee Colony (QABC). The ultimate goal is to converge to a better protocol that allows optimal energy consumption. In the pr...
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ISBN:
(纸本)9781538642382
In this paper, we present an approach to clustering sensor nodes based on a quantum Artificial Bee Colony (QABC). The ultimate goal is to converge to a better protocol that allows optimal energy consumption. In the proposed approach, some quantum computing principles have been used to represent each individual in the population in terms of quantum bits and to foster the search capabilities of the search process through an interference operation. The effectiveness of the proposed method has been assessed and compared to state of the art clustering-based methods namely Low Energy Adaptive Clustering Hierarchy algorithm (LEACH) and another Adaptive Artificial Bee Colony algorithm. The obtained results show that the proposed approach optimizes, in an efficient manner, the lifetime of wireless sensor networks. They also show that the proposed method competes with and even outperforms the other methods.
Nowadays, evacuation is mostly based on individual decisions, which is unreliable. This paper introduces a practical solution towards emergency evacuation by guiding people out of building efficiently. Built on wirele...
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ISBN:
(纸本)9781467322010
Nowadays, evacuation is mostly based on individual decisions, which is unreliable. This paper introduces a practical solution towards emergency evacuation by guiding people out of building efficiently. Built on wireless sensor network (WSN), our system is capable of learning and dynamically generating evacuation strategy. distributed mechanism and backup mechanism feature the scalability and invulnerability. Simulations prove the efficiency and reliability of the system.
This papers deals with the implementation of neural network controlled distributed Active Filters. distributed Active Filters introduces the concept of installing multiple active filters at different locations. Shunt ...
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ISBN:
(纸本)9781467345286
This papers deals with the implementation of neural network controlled distributed Active Filters. distributed Active Filters introduces the concept of installing multiple active filters at different locations. Shunt active filters consists of three phase VSI and an energy source connected at DC side. Synchronous Reference Frame theory is employed for enhancement of power quality. A comparison and analysis of harmonic content of source current is done by using PI controller and Neural Network control. The new concept of proposed distributed Active Filters are simulated using MATLAB power system Toolbox.
Wireless sensor Networks (WSNs) have become the ideal candidate to provide effective and economically viable solutions for a large variety of applications ranging from health monitoring, scientific data collection, en...
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ISBN:
(纸本)9781479932474;9780769550237
Wireless sensor Networks (WSNs) have become the ideal candidate to provide effective and economically viable solutions for a large variety of applications ranging from health monitoring, scientific data collection, environmental monitoring to military operations. In this paper, we present a proof-of-concept WSN to collect soil moisture content, which is one of the most fundamental data required for precision agriculture. Leveraging existing off-the-shelf hardware (MicaZ motes, MDA300CA data acquisition board, and EC-5 soil moisture sensors), the dominant open source embedded operating systems software (TinyOS 2.1.1), and MViz, we have built a prototype WSN to collect soil moisture. We present the detailed design and implementation of MDA300CA driver for TinyOS 2.1.1. Note that our architecture is general, so it is easy to integrate the driver of other sensor probes, thus collecting more types of data for different research purposes. Limited battery supply is a major concern when utilizing WSNs to build realistic applications. Therefore, we utilize solar panels and rechargeable battery to address this challenging problem. We illustrate our detailed design to package WSN nodes for outdoor development and present collected data to validate our design. Specifically, using sand soils with different water content, we demonstrate the result of our system. With enough details for researchers to understand and thus improve our design, our system could be a good starting point for their own research.
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