Smart campus and innovative education based on wireless sensor

2021 ◽  
Vol 81 ◽  
pp. 103678
Author(s):  
Ting Chen
Keyword(s):  
Wireless Sensor ◽  
Smart Campus ◽  
Innovative Education

Design of Smart Wireless Campus Network Based on Zigbee

2014 ◽  
Vol 687-691 ◽  
pp. 1864-1867
Author(s):  
Xiao Wen Qi ◽  
Zhi Ping Hao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Wireless Network ◽  
Short Range ◽  
Wireless Sensor ◽  
Network Technology ◽  
Campus Network ◽  
Low Speed ◽  
Smart Campus

As a new short-range, low-speed and low-power wireless network technology, ZigBee smart design is ideal for campus wireless sensor networks. Therefore, in order to study how to use zigBee achieve smart campus applications has a very important practical value, on the basis of technology and research Zigbee wireless smart construction on campus and abroad, combined with our practical needs of wireless smart campus, put forward a set of Zigbee-based wireless smart campus solution.

scholarly journals Smart Campus: Trends in cybersecurity and future development

2018 ◽  
Vol 27 (47) ◽  
Author(s):  
Brayan Sánchez-Torres ◽  
Jesús Alberto Rodríguez-Rodríguez ◽  
Dewar Willmer Rico-Bautista ◽  
César D. Guerrero
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Future Development ◽  
Technological Development ◽  
Wireless Sensor ◽  
Academic Learning ◽  
The Internet ◽  
Smart Campus ◽  
The Internet Of Things

Smart Campus is an entity of any kind that uses technology and infrastructure to support and improve its processes, so people can use them better. This paper reviews the literature to contextualize the Internet of Things and its vital importance for the Smart Campus, as well as its relationship with the concepts of cybersecurity and wireless sensor network. We describe the various interrelationships, tendencies, and future development of a Smart Campus, as well as the differences and similarities with the emerging concept of Smart University. This review revealed that the Internet of Things is involved in all fields and can influence and improve the university’s processes to contribute to decision-making, technological development, and academic learning. To conclude, Smart University focuses on improving the infrastructure of universities through technology, with the main purpose of enhancing the quality of the education provided by institutions.

scholarly journals Smart Campus: Trends in cybersecurity and future development

2018 ◽  
Vol 27 (47) ◽  
Author(s):  
Brayan Sánchez-Torres ◽  
Jesús Alberto Rodríguez-Rodríguez ◽  
Dewar Willmer Rico-Bautista ◽  
César D. Guerrero
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Future Development ◽  
Technological Development ◽  
Wireless Sensor ◽  
Academic Learning ◽  
The Internet ◽  
Smart Campus ◽  
The Internet Of Things

Smart Campus is an entity of any kind that uses technology and infrastructure to support and improve its processes, so people can use them better. This paper reviews the literature to contextualize the Internet of Things and its vital importance for the Smart Campus, as well as its relationship with the concepts of cybersecurity and wireless sensor network. We describe the various interrelationships, tendencies, and future development of a Smart Campus, as well as the differences and similarities with the emerging concept of Smart University. This review revealed that the Internet of Things is involved in all fields and can influence and improve the university’s processes to contribute to decision-making, technological development, and academic learning. To conclude, Smart University focuses on improving the infrastructure of universities through technology, with the main purpose of enhancing the quality of the education provided by institutions.

scholarly journals Revisión al Desarrollo de la Tecnología de Radio Cognitiva en Bandas VHF – UHF en el Ecuador

2020 ◽  
Vol 32 (1) ◽  
pp. 5
Author(s):  
Andy Fabricio Vega León
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Smart Campus ◽  
Cognitive Wireless Sensor Networks

La paulatina demanda, sobreutilización y subutilización espectral son factores que han denotado, a nivel gubernamental y de investigación, una búsqueda de soluciones legales y tecnológicas para optimizar el uso del espectro radioeléctrico. Bajo este argumento, el documento aborda una revisión al estado del arte sobre la aplicación de la tecnología de Radio Cognitiva (RC) sobre redes de sensores inalámbricos cognitivos (CWSN, Cognitive Wireless Sensor Networks), o de reúso espectral para la explotación de forma mejorada del espectro radioeléctrico en bandas VHF – UHF en el Ecuador. Esta recopilación u observación permitiría identificar el estado del arte para el desarrollo del proyecto de investigación “Smart UNL”, que pretende desplegar una red de sensores inalámbricos basados en Radio Cognitiva (RC), para control de luminarias dentro de un Smart Campus. Los resultados evidencian cero aprovechamientos del concepto fundamental de RC para este tipo de aplicaciones, ya que los trabajos investigados se orientan a otro tipo de estudios de telecomunicaciones RC, lo que entrevé un amplio campo de aplicación y desarrollo de CWSN para una posible gestión y control de componentes de un Smart Campus.

Principles of Wireless Sensor Networks

2012 ◽  
Author(s):  
Mohammad S. Obaidat ◽  
Sudip Misra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor

Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Control Parameter ◽  
Interference Mitigation ◽  
Wireless Sensor ◽  
Point To Point ◽  
A Minor ◽  
Two Stages ◽  
Time Division ◽  
And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

Energy Efficiency Analysis in ERA using NFL-BA Algorithm

2020 ◽  
pp. 340-348
Author(s):  
Palky Mehta ◽  
H. L. Sharma
Keyword(s):  
Cluster Head ◽  
Vital Role ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Cluster Heads ◽  
Comparison Results ◽  
Current Scenario ◽  
Energy Efficiency Analysis ◽  
Selection Of

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.

A Survey on Hierarchical Cluster Based Secure Routing Protocols and Key Management Schemes in Wireless Sensor Networks

2018 ◽  
pp. 18-26
Author(s):  
Yugashree Bhadane ◽  
Pooja Kadam
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Key Management ◽  
Energy Efficient ◽  
Base Station ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Management Schemes ◽  
Cluster Based Routing

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.

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