无线传感网络(英文)最新文献_第3页

A Configurable Routing Protocol for Improving Lifetime and Coverage Area in Wireless Sensor Networks 一种提高无线传感器网络生存期和覆盖面积的可配置路由协议

无线传感网络(英文) Pub Date : 2017-09-28 DOI: 10.4236/WSN.2017.99018

A. Alshahrani, N. Namazi, Majed Abdouli, A. Alghamdi

引用次数: 3

An Integrated Cloud-Based Wireless Sensor Network for Monitoring Industrial Wastewater Discharged into Water Sources 基于云的集成无线传感器网络用于监测排放到水源中的工业废水

无线传感网络(英文) Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98016

Y. Zakaria, Kisangiri Michael

引用次数: 29

BeaLib: A Beacon Enabled Smart Library System BeaLib:一个信标智能图书馆系统

无线传感网络(英文) Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98017

M. Uttarwar, Arun K. Kumar, P. Chong

引用次数: 6

An Application of Kalman Filtering and Artificial Neural Network with K-NN Position Detection Technique 卡尔曼滤波和人工神经网络在K-NN位置检测技术中的应用

无线传感网络(英文) Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98013

Hakan Koyuncu, B. Koyuncu

{"title":"An Application of Kalman Filtering and Artificial Neural Network with K-NN Position Detection Technique","authors":"Hakan Koyuncu, B. Koyuncu","doi":"10.4236/WSN.2017.98013","DOIUrl":"https://doi.org/10.4236/WSN.2017.98013","url":null,"abstract":"RFID technology is one of the important technologies to determine the object locations. Distances are calculated with respect to calibration curves of RSSI amplitudes. The aim of this study is to determine the 2D position of mobile objects in the indoor environment. The importance of the work is to show that localization by using Artificial Neural Network plus Kalman Filtering is more accurate than using classical KNN method. An indoor wireless sensing network is established with strategically stationed RFID transmitter nodes and a mobile object with a RFID receiver node. A fingerprint map is generated and K-Nearest Neighbourhood algorithm (KNN) is deployed to calculate the object locations. Fingerprint coordinates and RSS values received at these coordinates are deployed to set up an Artificial Neural Network (ANN). This network is used to determine the unknown object locations by using RSS values received at these locations. The accuracy of object localization is found to be better with ANN technique than KNN technique. Object coordinates, determined with ANN technique, are subjected to Kalman filtering. The results show that localization accuracies are improved and localization error distances are reduced by 46% with the deployment of ANN + Kalman Filtering.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":"9 1","pages":"239-249"},"PeriodicalIF":0.0,"publicationDate":"2017-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44782461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Wildfire Monitoring and Detection System Using Wireless Sensor Network: A Case Study of Tanzania 利用无线传感器网络的野火监测与探测系统:以坦桑尼亚为例

无线传感网络(英文) Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98015

A. S. Lutakamale, S. Kaijage

引用次数: 47

Media Access with Spatial Reuse for Cooperative Spectrum Sensing 基于空间复用的协同频谱传感媒体接入

无线传感网络(英文) Pub Date : 2017-07-31 DOI: 10.4236/WSN.2017.97012

Xiaofei Shao, H. Leib

{"title":"Media Access with Spatial Reuse for Cooperative Spectrum Sensing","authors":"Xiaofei Shao, H. Leib","doi":"10.4236/WSN.2017.97012","DOIUrl":"https://doi.org/10.4236/WSN.2017.97012","url":null,"abstract":"The increasing interest for wireless communication services and scarcity of radio spectrum resources have created the need for a more flexible and efficient usage of the radio frequency bands. Cognitive Radio (CR) emerges as an important trend for a solution to this problem. Spectrum sensing is a crucial function in a CR system. Cooperative spectrum sensing can overcome fading and shadowing effects, and hence increase the reliability of primary user detection. In this paper we consider a system model of a dedicated detect-andforward wireless sensor network (DetF WSN) for cooperative spectrum sensing with k-out-of-n decision fusion in the presence of reporting channels errors. Using this model we consider the design of a spatial reuse media access control (MAC) protocol based on TDMA/OFDMA to resolve conflicts and conserve resources for intra-WSN communication. The influence of the MAC protocol on spectrum sensing performance of the WSN is a key consideration. Two design approaches, using greedy and adaptive simulated annealing (ASA) algorithms, are considered in detail. Performance results assuming a grid network in a Rician fading environment are presented for the two design approaches.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":"09 1","pages":"205-237"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48999694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Cross-Layer Optimization Framework for Energy Efficiency in Wireless Sensor Networks 无线传感器网络能量效率的跨层优化框架

无线传感网络(英文) Pub Date : 2017-06-28 DOI: 10.4236/WSN.2017.96011

Karuna Babber, Rajneesh Randhawa

引用次数: 12

Single User MAC Level Throughput Comparision: IEEE 802.11ax vs. IEEE 802.11ac 单用户MAC级别吞吐量比较：IEEE 802.11ax与IEEE 802.11ac

无线传感网络(英文) Pub Date : 2017-05-25 DOI: 10.4236/WSN.2017.95009

O. Sharon, Yaron Alpert

引用次数: 20

A Novel Cluster Based Time Synchronization Technique for Wireless Sensor Networks 一种新的基于集群的无线传感器网络时间同步技术

无线传感网络(英文) Pub Date : 2017-05-25 DOI: 10.4236/wsn.2017.95008

Gopal Chand Gautam, N. Chand

{"title":"A Novel Cluster Based Time Synchronization Technique for Wireless Sensor Networks","authors":"Gopal Chand Gautam, N. Chand","doi":"10.4236/wsn.2017.95008","DOIUrl":"https://doi.org/10.4236/wsn.2017.95008","url":null,"abstract":"Time synchronization is one of the important aspects in wireless sensor networks. Time synchronization assures that all the sensor nodes in wireless sensor network have the same clock time. There are various applications such as seismic study, military applications, pollution monitoring where sensor nodes require synchronized time. Time synchronization is mandatory for many wireless sensor networks protocols such as MAC protocols and also important for TDMA scheduling for proper duty cycle coordination. Time synchronization is a stimulating problem in wireless sensor networks because each node has its own local clock which keeps on varying due to variation in the oscillator frequency. The oscillator frequency is time varying due to ambient conditions which leads to re-synchronization of nodes time and again. This re-synchronization process is energy consuming whereas energy is constraints in WSN. This paper proposes a novel cluster based time synchronization technique for wireless sensor networks in which cluster head rotation is based on minimum clock offset. Simulation results based on energy analysis of the proposed model demonstrate that proposed novel cluster based time synchronization technique reduces the energy consumption and also the synchronization error compared with other existing protocols.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":"09 1","pages":"145-165"},"PeriodicalIF":0.0,"publicationDate":"2017-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42808543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Single Mobile Sink Based Energy Efficiency and Fast Data Gathering Protocol for Wireless Sensor Networks 基于单移动Sink的无线传感器网络能量效率和快速数据采集协议

无线传感网络(英文) Pub Date : 2017-04-28 DOI: 10.4236/WSN.2017.94007

Shivkumar S. Jawaligi, G. Biradar

{"title":"Single Mobile Sink Based Energy Efficiency and Fast Data Gathering Protocol for Wireless Sensor Networks","authors":"Shivkumar S. Jawaligi, G. Biradar","doi":"10.4236/WSN.2017.94007","DOIUrl":"https://doi.org/10.4236/WSN.2017.94007","url":null,"abstract":"Recently, the exponential rise in communication system demands has motivated global academia-industry to develop efficient communication technologies to fulfill energy efficiency and Quality of Service (QoS) demands. Wireless Sensor Network (WSN) being one of the most efficient technologies possesses immense potential to serve major communication purposes including civil, defense and industrial purposes etc. The inclusion of sensor-mobility with WSN has broadened application horizon. The effectiveness of WSNs can be characterized by its ability to perform efficient data gathering and transmission to the base station for decision process. Clustering based routing scheme has been one of the dominating techniques for WSN systems; however key issues like, cluster formation, selection of the number of clusters and cluster heads, and data transmission decision from sensors to the mobile sink have always been an open research area. In this paper, a robust and energy efficient single mobile sink based WSN data gathering protocol is proposed. Unlike existing approaches, an enhanced centralized clustering model is developed on the basis of expectation-maximization (EEM) concept. Further, it is strengthened by using an optimal cluster count estimation technique that ensures that the number of clusters in the network region doesn’t introduce unwanted energy exhaustion. Meanwhile, the relative distance between sensor node and cluster head as well as mobile sink is used to make transmission (path) decision. Results exhibit that the proposed EEM based clustering with optimal cluster selection and optimal dynamic transmission decision enables higher throughput, fast data gathering, minima delay and energy consumption, and higher efficiency","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":"09 1","pages":"117-144"},"PeriodicalIF":0.0,"publicationDate":"2017-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70902386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10