scholarly journals Optimization and Simulation of Literature Aided Reading System Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jingen Jiang ◽  
Yongchun Xia
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Online Reading ◽  
Report Generation ◽  
Problem Model ◽  
Teachers And Students ◽  
Optimization And Simulation ◽  
Reading System ◽  
The Stability

This paper designs and implements an intelligent online reading platform based on wireless sensor network. The platform adopts SSM framework based on Spring architecture as the cornerstone and is oriented to ordinary users and teachers and students. Ordinary users can carry out normal online reading on the platform, and teachers and students can carry out auxiliary reading teaching on the platform. The online reading platform is an interactive reading platform system integrating online reading, EPub resource generation and management, and user reading data statistics. The whole platform is composed of registration and login module, online reading module, EPub e-book generation module, and reading data report module. Spring, Spring MVC, and Mybatis framework are used to achieve hierarchical solution and improve development efficiency. For the problems that may occur in the process of EPub generation, an intelligent EPub generation mechanism is designed and implemented to achieve intelligent error correction and improve the stability of EPub generation. Platform design and implementation of a reading data report generation system can be in the background of the report generation and download. In addition, the random extraction problem in platform business is also analyzed, the problem model is established, and the database random extraction scheme commonly used in the industry is studied. The application of wireless sensor for reading aid is less and mostly stays in theory. Based on the traditional intelligent clustering system, the system is designed to improve the system scalability and provide a feasible literature assisted reading scheme while ensuring the accuracy and efficiency of the system.

scholarly journals Honey Bee Optimization based Sink Mobility Aware Heterogeneous Protocol for Wireless Sensor Network

2019 ◽  
Vol 20 (4) ◽  
pp. 591-598 ◽  
Author(s):  
Ashish Kumar Luhach ◽  
Aditya Khamparia ◽  
Ravindra Sihag ◽  
Raj Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Honey Bee ◽  
Heterogeneous Network ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Research Issues ◽  
Data Packets ◽  
Industrial Monitoring ◽  
The Stability

Wireless Sensor Network (WSN) has emerged as one of the most important technologies serving an array of solutions for critical applications such as defense, industrial monitoring and decision purposes. Data routing in WSN is effective or non-effective depending upon the energy saving for nodes while transferring data packets to the sink. Mainly WSN divided into two modes; heterogeneous and homogeneous. Heterogeneous network in WSN mainly focused on the cluster head selection. Sink mobility in the heterogeneous network has still many open research issues, it is observed that it makes the network more energy efficient. The optimization in the network leads to the stability of the network at a much higher level. In this paper, the sink mobility is optimized for WSN using Honey Bee Optimization (HBO) technique by considering the parameters such as energy and distance. The proposed protocol shows significant improvement in the stability period by 33 % by covering 2928 rounds and enhanced network lifetime by 1500 rounds in compared with 2033 and 14084 rounds for iMBEENISH protocol respectively.

Automatic Gas Meter Reading System Based on Wireless Sensor Network

2012 ◽  
Vol 424-425 ◽  
pp. 1270-1273
Author(s):  
Yong Jie Yang ◽  
Dong Hua Lv ◽  
Xian Xian Lin
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Current Status ◽  
Lower Power ◽  
Reading Technology ◽  
Reading System

In view of the current status and shortcomings of existing meter reading systems, in this paper, we proposed an automatic gas meter reading system based on the advantages of gas meter directly reading technology, WSN technology and GPRS technology, introduced the whole scheme and the design of hardware and software in detail. The system is consist of three level network. The first level network and the second level network use the different frequency during communication. It decreases the interface of each other during the translation of the data, and increase the lifetime of the smart gas meter. The system has the advantages of easy construct, flexible layout, lower power consumption

A Routing Method Based on Wireless Sensor Network for Smart Meter Reading System

2013 ◽  
Vol 380-384 ◽  
pp. 2930-2933
Author(s):  
Zhong Feng Wang ◽  
Wei Chun Ge ◽  
Ying Nan Wang ◽  
Jian Long Huang ◽  
Li Gang Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Collision Probability ◽  
Wireless Sensor ◽  
Engineering Practice ◽  
Smart Meter ◽  
Important Means ◽  
Network Communications ◽  
Reading System ◽  
Advanced Metering

Smart meter reading system is the core of advanced metering infrastructure for Smart Grid. Wireless sensor network is an important means to realize the power information collection. Based on hierarchical strategy, this article proposed a method to establish routing in wireless smart meter reading system. This method provides reliable two-way communication routing, but also greatly reduces the collision probability of network communications. In order to verify the feasibility of the approach, a large number of simulation experiments were carried out. This idea has been applied in actual engineering practice.

scholarly journals An Energy Efficient Mechanism using Mutated Bat Algorithm in Wireless Sensor Network

2019 ◽  
Vol 8 (11) ◽  
pp. 3544-3550
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Bat Algorithm ◽  
Base Station ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Efficient Manner ◽  
The Stability ◽  
The Cost

Today, the Wireless Sensor Network (WSN) is emerging to be a very promising technology to be employed in the future. There were different protocols in energy-efficient routing that were designed and further developed for the WSNs for the purpose of supporting data delivery given to their respective destinations. The different techniques of clustering are perused widely by different researchers for increasing their objectives of scalability and also their lifetime. There have been many protocols used for the creation of a hierarchical structure to reduce the cost of the path at the time of making any communication to the base station. This work increases an energy lifetime and the stability of the network in an efficient manner within the protocols of clustering for which several protocols were suggested. Discussion is made on the Bat Algorithm (BA), the Bat algorithm along with mutation and the Genetic Algorithm (GA). This BAT algorithm had search abilities with various applications to solve problems in engineering. There was viability for the mutated BAT algorithms observed in various tasks that were proven and were shown by the empirical outcomes thus making the proposed scheme to perform better in comparison with all schemes

scholarly journals Optimization and Simulation of an English-Assisted Reading System Based on Wireless Sensor Networks

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Shumei Huang
Keyword(s):  
Operating System ◽  
Wireless Sensor Network ◽  
Open Source ◽  
Sensor Network ◽  
High Speed ◽  
Wireless Sensor ◽  
Network Technology ◽  
Database Technology ◽  
Assisted Reading ◽  
Reading System

In this paper, wireless sensor network technology is applied to an English-assisted reading system to highly simulate and restore the context and improve the performance of all aspects of the English-assisted reading system to optimize the English-assisted reading system. The product designed in this paper is based on wireless sensor network technology with Linux as the core operating system and supports POSIX (Portable Operating System Interface Standard) standard application development interface; QT is used as the component and framework of the system to support many applications. Based on player open-source multimedia audio and video technology, optimized and tailored for the hardware platform, it well supports multimedia learning and entertainment functions; this paper also adopts open-source database technology based on SQL (Structured Quevy Language) and Berkeley DB, using them as a platform for data storage and access, supporting a million-level thesaurus and high-speed, example sentence search. In this paper, we describe the user’s personalized needs by creating interest models for the user, recommending the text content, and reading order that can help with understanding through the interest models and reading articles and expanding the recommended text range by making expansions to the reading content through references and related articles to further help the user understand the text. Based on the above work, this paper implements an assisted reading system; finally, a multihop self-organizing network system is formed through a wireless sensor network to make the rigid and boring English reading easy and interesting.

scholarly journals FLAG: Fuzzy Logic Augmented Game Theoretic Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Networks

2021 ◽  
Author(s):  
Chandra Naik ◽  
Pushparaj Shetty D
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Clustering Algorithm ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Inference System ◽  
Stability Period ◽  
Cluster Heads ◽  
Game Theoretic ◽  
The Stability

Abstract Stability of the Wireless Sensor Network(WSN) is the most critical factor in real-time and data-sensitive applications like military and surveillance systems. Many energy optimization techniques and algorithms have been proposed to extend the stability of a wireless sensor network. Clustering is a well regarded method in the research communities among them. Hence, this paper presents hybrid hierarchical artificial intelligence based clustering techniques, named FLAG and I-FLAG. The first phase of these algorithms use game theoretic technique to elect suitable cluster heads(CHs) and later phase of the algorithms use fuzzy inference system to select appropriate super cluster heads(SCHs) among CHs. The I-FLAG is an improved version of FLAG where additional parameters like energy and distance are considered to elect CHs. Simulations are performed to check superiority of the proposed algorithms over the existing protocols like LEACH, CHEF, and CROSS. Simulation results show that the average stability period of WSN is better in FLAG and I-FLAG compared to other protocols, and so is the throughput of WSN during the stability period.

scholarly journals A hierarchical adaptive routing algorithm of wireless sensor network based on software-defined network

2018 ◽  
Vol 14 (8) ◽  
pp. 155014771879461 ◽  
Author(s):  
Zhong-Nan Zhao ◽  
Jian Wang ◽  
Hong-Wei Guo
Keyword(s):  
Wireless Sensor Network ◽  
Target Tracking ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Optimal Path ◽  
Adaptive Routing ◽  
Wireless Sensor ◽  
Software Defined Network ◽  
Test Bed ◽  
Problem Model

The target tracking issue has always been the hotspot in wireless sensor network, and with the emergence of new application in multimedia and real-time transmission, new requirements are proposed for transmission performance of target tracking routing; therefore, a software-defined network–based hierarchical adaptive routing algorithm of wireless sensor network is proposed in this article. The algorithm takes into account both network energy and throughput, uses Hopfield neural network algorithm to calculate the optimal path among adjacent clusters as a local routing (LR), and builds the Multi-choice Knapsack Problem model based on local paths to realize end-to-end global routing, in order to realize the routing of tracking target information under multi-objective conditions. The test bed includes physical and simulation tests. Experimental results show that the proposed algorithm is superior to low energy adaptive clustering hierarchy (LEACH) and Sequential Assignment Routing under different test scenarios.

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