The City Rail Safety Detection Sensor Network Platform Using Online Track Detection

2014 ◽  
pp. 349-353
Author(s):  
Shaohuang Pang ◽  
Weiping Zhao ◽  
Honghui Dong ◽  
Wenlong Peng ◽  
Jianxiao Chen
Keyword(s):  
Sensor Network ◽  
Network Platform ◽  
The City

scholarly journals Enabling Intelligence on a Wireless Sensor Network Platform

2012 ◽  
pp. 299-306 ◽  
Author(s):  
M. J. O’Grady ◽  
P. Angove ◽  
W. Magnin ◽  
G. M. P. O’Hare ◽  
B. O’Flynn ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Platform

Effective Resource Aware Health Care Monitoring in Body Sensor Network Platform Using Modified Particle Swarm Optimization

2021 ◽  
Vol 11 (12) ◽  
pp. 3054-3061
Author(s):  
S. Sureshu ◽  
R. Vijayabhasker
Keyword(s):  
Particle Swarm Optimization ◽  
Sensor Network ◽  
Virtual Machines ◽  
Particle Swarm ◽  
Resource Scheduling ◽  
Cloud Services ◽  
Swarm Optimization ◽  
Body Sensor Network ◽  
Modified Particle Swarm Optimization ◽  
Network Platform

Real-time physiological data may be gathered using wearable medical sensors based on a network of body sensors. We do not however have an effective, trustworthy and secure body sensor network platform (BSN) that can satisfy growing e-health requirements. Many of these applications require BSN to provide the dependable and energy efficient data transfer of many data speeds. Cloud computing is giving assets to patient dependent on application request at SLA (service level agreement) rules. The service providers are focusing on giving the necessity based asset to satisfy the QoS (quality of service) prerequisites. Therefore, it has become an assessment to adapt service-oriented assets because of vulnerability and active interest for cloud services. The task scheduling is an option in contrast to appropriating asset by evaluating the inconsistent outstanding task at hand. the allocation of tasks given by the microprocessor Subsequently, a productive asset scheduling method needs to disseminate proper VMs (Virtual Machines). The swarm intelligence is appropriate to deal with such vulnerability issues carefully. In this paper, an effective resource scheduling strategy Utilizing Modified Particle Swarm Optimization approach (MPSO) is presented, with a target to limit execution cost that gives an approach for the microprocessor to deal with the multiple number of tasks gives to the controllers in order to perform the multiple tasks that gets logged in the cloud via Internet of things technology (Iot), energy consumed, bandwidth consumption, speed and execution cost. The near investigation of results has been exhibited that the presented scheduling scheme performed better when contrasted with existing evaluation. In this manner, the presented resource scheduling approach might be utilized to enhance the viability of cloud resources.

Autonomous Energy-Efficient Wireless Sensor Network Platform for Home/Office Automation

2019 ◽  
Vol 19 (9) ◽  
pp. 3501-3512 ◽  
Author(s):  
Crispino S. Abella ◽  
Salvo Bonina ◽  
Antonino Cucuccio ◽  
Salvatore D'Angelo ◽  
Gianluca Giustolisi ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Office Automation ◽  
Wireless Sensor ◽  
Home Office ◽  
Network Platform

scholarly journals Open-WiSe: A Solar Powered Wireless Sensor Network Platform

Sensors ◽  
2012 ◽  
Vol 12 (6) ◽  
pp. 8204-8217 ◽  
Author(s):  
Apolinar González ◽  
Raúl Aquino ◽  
Walter Mata ◽  
Alberto Ochoa ◽  
Pedro Saldaña ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Platform ◽  
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