Advances in Hydrogen Gas Sensor Technology and Implementation in Wireless Sensor Networks

2011 ◽  
pp. 97-130
Author(s):  
Travis Anderson ◽  
Byung Chu ◽  
Yu-Lin Wang ◽  
Jenshan Lin ◽  
Fan Ren
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Gas Sensor ◽  
Hydrogen Gas ◽  
Wireless Sensor ◽  
Sensor Technology

The Application of Wireless Sensor Networks in Power Engineering

2014 ◽  
Vol 494-495 ◽  
pp. 1880-1883
Author(s):  
Rui Hui Mu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Communication Technology ◽  
Computer Technology ◽  
Remote Monitoring ◽  
Ad Hoc ◽  
Power Engineering ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Fast Evolution

The fast evolution of computer technology, sensor technology, MEMS and modern wireless communication technology has impelled development of wireless sensor networks. Wireless sensor networks are consist of a large number of nodes which can be capable of communicating, computing and cooperation in ad hoc model. In this paper, we study the application of wireless sensor networks in power engineering. A device for remote monitoring of electric towers is designed. This paper proposes the implementations of remote wireless centralized electricity meter reading based on wireless sensor network.

Key node identification of wireless sensor networks based on cascade failure

2020 ◽  
Vol 34 (34) ◽  
pp. 2050394
Author(s):  
Xiao Wang ◽  
Jian Du ◽  
Rongcheng Zou ◽  
Zebo Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Technology ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Failure Model ◽  
Complex Load ◽  
Node Importance ◽  
Load Network

Wireless sensor networks (WSNs) have become one of the core technologies of the internet of things (IoT) system. They are information generation and acquisition systems used by the IoT to sense and identify the surrounding environment. They are also sensor technology, embedding computing technology, communication technology and important product in the development of Internet technology, which have made the whole society more intelligent and humanized. WSNs are multi-hop self-organizing networks consisting of a large number of micro-sensor nodes deployed in the monitoring area. They can collaboratively sense, collect and process the monitored objects and transmit them to the observers. In this paper, we use the cascade failure method to find the key nodes in the WSNs. First, a complex network cascade failure model based on load redistribution is proposed. Differences from the existing model are as follows: (1) for each node, an overload function is defined; (2) the evolution of the network topology is replaced by node weight evolution. Based on the cascade failure model, a method for evaluating the importance of complex load network nodes is proposed and a new definition of node importance is given. This method helps to discover some potential “critical nodes” in the network. The final experimental analysis verifies the effectiveness and feasibility of the proposed method.

scholarly journals Energy-Efficient Routing for Performance and Network Lifetime Enhancement in Wireless Sensor Networks

2021 ◽  
pp. 113-120
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Multimedia Data ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Energy Efficient Routing ◽  
Efficient Energy

Due to the rapid and quality advancements in the sensor technology and the availability of stumpy cost hardware, the development of Wireless Sensor Networks (WSNs) has emerged as a unique solution. These networks are the composition of source controlled nodes that are wireless, through which the scalar and multimedia data can be sensed, acquired and transmit from the surroundings. However, the resource controlled character of the wireless sensing devices has made the WSNs to face numerous challenges. A multiplicity of WSN applications are underwater, mountain-based, and forest driving. Practically it is not achievable to revitalize or re-establish these nodes throughout the task. To tackle these challenges, efficient energy utilization is a significant confront in these types of networks, as the node energy is constrained. Thus, these available resources of the node must be utilized efficiently for various basic functions like data sensing, processing and transmitting. So, the energy efficient routing protocols are the key factors to decrease the energy consumption and lifetime elaboration of the network. The Cluster-based routing is a widespread method to attain network performance with energy efficiency to enhance network lifetime. Thus, this work gives the development of routing protocol with efficient energy to elaborate systems lifetime. Performance results indicate that the projected work improves the performance.

scholarly journals REEP : a data-centric, reliable and energy-efficient routing protocol for wireless sensor networks

2021 ◽  
Author(s):  
Farhana Zabin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Moving Objects ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Energy Awareness ◽  
Energy Efficient Routing

Recent advances in sensor technology and wireless communications have led to many new data dissemination routing protocols, especially designed for wireless sensor networks, where energy awareness is the most important consideration. The focus of this thesis is on the area of routing protocols for wireless sensor networks, especially for those applications where, the whole sensor field need to be taken under observation to detect available different types of moving objects. Besides the efficient use of limited energy, reliability is another important issue in sensor communication, where the network is susceptible to environmental factors. In this thesis, the design of a new energy-efficient data-centric routing protocol, named Reliable and Energy-Efficient Protocol (REEP), is proposed. We have used MATLAB 7.4 for our implementation. The performance of REEP has been compared with Directed Diffusion (DD) for the aforementioned sensor network application. Our simulations and experimental results show that REEP performs better than DD.

Wireless Sensor Networks in IPM

2020 ◽  
pp. 28-52
Author(s):  
Mina Petrić ◽  
Cedric Marsboom ◽  
Jurgen Vandendriessche
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Best Practice ◽  
Numerical Models ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Time Data ◽  
Vector Surveillance ◽  
Crop Agriculture ◽  
The Impact

An emerging field for environmental wireless sensor networks (WSN) is entomological vector surveillance. Sensor technology can be used to shoulder ecologically friendly practices within the integrated pest management (IPM) approach. Proper surveillance and subsequent modelling of the impact that pest and disease have on human health and crop agriculture is a pressing issue in numerous segments. Complex numerical models are being developed to generate information regarding the population dynamics of vector species and the expected circulation of vector-borne disease (VBD). These models require detailed micrometeorological forcing representative of the vector habitat to generate accurate simulations. Near real-time data offload in remote areas with flexible channels of communication for complex and heterogeneous topographies is an important component in this type of application. In this chapter, the authors provide an overview of the scope and best-practice approaches in applying WSN technology to drive IPM models.

Design of Agriculture Environment Monitoring System Based on Wireless Sensor Network

2012 ◽  
Vol 588-589 ◽  
pp. 1095-1098 ◽  
Author(s):  
Bi Hua Zhu ◽  
Ying Li Zhu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Environment Monitoring ◽  
Agricultural Environment ◽  
Agricultural Modernization ◽  
Communication Module

With the development of agricultural modernization, agricultural environment protection, sensor technology, MEMS, wireless communications, Wireless Sensor Networks have been paid great attention in industry field and our daily life, this paper designs an agricultural environment monitoring system based on wireless sensor networks, and gives the hardware design of sensor nodes and the flowchart of software. In order to meet requirements of agricultural environment monitoring signals, MSP430F149 is chosen as the microprocessor, and CC2420 module acts as the wireless communication module. The system can real-timely monitor agriculture environmental information, such as the temperature, humidity and light intensity.

The Application of Wireless Sensor Networks in Power Engineering

2014 ◽  
Vol 986-987 ◽  
pp. 1673-1676
Author(s):  
Rui Hui Mu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Communication Technology ◽  
Computer Technology ◽  
Remote Monitoring ◽  
Ad Hoc ◽  
Power Engineering ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Fast Evolution

The fast evolution of computer technology, sensor technology, MEMS and modern wireless communication technology has impelled development of wireless sensor networks. Wireless sensor networks are consist of a large number of nodes which can be capable of communicating, computing and cooperation in ad hoc model. In this paper, we study the application of wireless sensor networks in power engineering. A device for remote monitoring of electric towers is designed. This paper proposes the implementations of remote wireless centralized electricity meter reading based on wireless sensor network.

scholarly journals Semantic-Based Sports Music Information Fusion and Retrieval in Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Qiaolin Yu ◽  
Xiaofei Liu ◽  
Sihui Li ◽  
Lei Hou ◽  
Chengdong Zhu ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Information Fusion ◽  
Hot Spot ◽  
Detection Algorithm ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Dos Attacks ◽  
Music Information

The wireless sensor network has developed rapidly in recent years. It is formed by the intersection of multiple disciplines. It integrates embedded technology, sensor technology, distributed technology, wireless communication technology, and modern networks. It is a brand new information acquisition platform. The characteristics of sensor networks determine that information fusion technology is a hot spot in the research of wireless sensor networks. Information fusion can achieve high performance and low cost in terms of energy and communication, which is of great significance to the research of sensor networks. This paper is aimed at studying the semantic-based sports music information fusion and retrieval research in wireless sensor networks. WSNs may face various attacks including eavesdropping attacks, replay attacks, Sybil attacks, and DOS attacks. Therefore, they are designing sensor network solutions. It is necessary to consider the network security issues. This article summarizes and analyzes the existing WSN security data fusion solutions for this issue and compares them by classification. This paper proposes methods and theories such as the spatial correlation detection algorithm, CBA algorithm, FTD algorithm, and DFWD algorithm, which enriches the research of information fusion and retrieval in wireless sensor networks, which is of exploratory significance, and it also establishes this problem. The model was studied, and reliable data was obtained. The experimental results of this paper show that when using these methods to diagnose faults in WSN, the correct rate of model diagnosis is higher than 77%.

scholarly journals Design of Seat Search System in the Classroom Based on Wireless Sensor Networks

2018 ◽  
Vol 14 (01) ◽  
pp. 119
Author(s):  
Jia Yu Chen ◽  
Cui Megxuan ◽  
Cui Megxuan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Monitoring System ◽  
Experimental System ◽  
Control Unit ◽  
Mobile Network ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Signal Acquisition

The purpose of this design is intended to statistics and publishes free seats information in classroom timely to students, and then save students’ time to looking for classroom. The system uses wireless sensor networks to monitor classroom vacancies. It consists of classroom monitoring system and information transmission system. The classroom monitoring system consists of a coordinator node for remote wireless communication and two collection nodes for local communications in the classroom, and that three nodes are star-connected. The tasks of the coordinator node are to collect information from the collection nodes and display and transmission. Set up two collection nodes for collecting information of the number who inter the classroom. The devices for counting include two units, signal acquisition unit is constituted with pyroelectric infrared sensor which contains RE200B probe and conditioning circuit, and the control unit is constituted with CC2530 for signal processing. LCD screen is used to real-time display in coordinator node for counting the number of coming in or out the classroom. Users who enter the teaching building check which classroom have seats available. The manner of local communication is using ZIGBEE. The entire system uses sensor technology and mobile network communication technology to achieve real-time acquisition and release of information. The ability to identify and stability of the experimental system currently implemented are strong.

Smart Sensing Network for Smart Technologies

2021 ◽  
pp. 177-191
Author(s):  
Francina Sophiya D. ◽  
Swarnalatha P. ◽  
Prabu Sevugan ◽  
T. D. K Upeksha Chathurani ◽  
R. Magesh Babu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Traffic Monitoring ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Evolutionary Development ◽  
Sensor Technology ◽  
Sensory Data ◽  
Multiple Networks ◽  
Smart Technologies

Smart environments based on wireless sensor networks represent the next evolutionary development step in engineering, such as industrial automation, video surveillance, traffic monitoring, and robot control. Sensory data come from multiple networks of interconnected sensors with complex distributed locations. The recent development of communication and sensor technology results in the growth of a new attractive and challenging area: wireless sensor networks (WSNs). A wireless sensor network which consists of a large number of sensor nodes is deployed in environmental fields to serve various applications. Facilitated with the ability of wireless communication and intelligent computation, these nodes become smart sensors that do not only perceive ambient physical parameters but also are able to process information, cooperate with each other, and self-organize into the network. These new features assist the sensor nodes as well as the network to operate more efficiently in terms of both data acquisition and energy consumption.

Sign in / Sign up

Export Citation Format

Share Document