A Protocol for Selecting the Strongest and Authentic Hotspot in any Wireless Infrastructure

Author(s):  
Shiladitya Bhattacharjee ◽  
Lukman Bin Ab Rahim ◽  
M. Nordin B. Zakaria ◽  
Izzatdin Bin Ab. Aziz
2015 ◽  
Vol 14 (6) ◽  
pp. 5809-5813
Author(s):  
Abhishek Prabhakar ◽  
Amod Tiwari ◽  
Vinay Kumar Pathak

Wireless security is the prevention of unauthorized access to computers using wireless networks .The trends in wireless networks over the last few years is same as growth of internet. Wireless networks have reduced the human intervention for accessing data at various sites .It is achieved by replacing wired infrastructure with wireless infrastructure. Some of the key challenges in wireless networks are Signal weakening, movement, increase data rate, minimizing size and cost, security of user and QoS (Quality of service) parameters... The goal of this paper is to minimize challenges that are in way of our understanding of wireless network and wireless network performance.


2006 ◽  
Vol 13 (1) ◽  
pp. 93-105 ◽  
Author(s):  
Subalakshmi Venugopal ◽  
Wesley Chen ◽  
T. D. Todd ◽  
Krishna Sivalingam

2018 ◽  
Vol 7 (2.7) ◽  
pp. 146
Author(s):  
Lakshmi Prasad Mudarakola ◽  
J K.R. Sastry ◽  
V Chandra Prakash

Thorough testing of embedded systems is required especially when the systems are related to monitoring and controlling the mission critical and safety critical systems. The embedded systems must be tested comprehensively which include testing hardware, software and both together. Embedded systems are highly intelligent devices that are infiltrating our daily lives such as the mobile in your pocket, and wireless infrastructure behind it, routers, home theatre system, the air traffic control station etc. Software now makes up 90% of the value of these devices. In this paper, authors present different methods to test an embedded system using test cases generated through combinatorial techniques. The experimental results for testing a TMCNRS (Temperature Monitoring and Controlling Nuclear Reactor System) using test cases generated from combinatorial methods are also shown.


2007 ◽  
Vol 42 (9) ◽  
pp. 832-840 ◽  
Author(s):  
Lor Siv-Lee ◽  
Linda Morgan

Purpose This paper describes the implementation of wireless “intelligent” pump intravenous (IV) infusion technology in a not-for-profit academic, multicampus hospital system in the United States. Methods The process of implementing a novel infusion system in a multicampus health care institution (main campus plus three satellite campuses) is described. Details are provided regarding the timelines involved, the process for the development of the drug libraries, and the initial implementation within and across campuses. Results In early 2004, with the end of the device purchase contract period nearing, a multidisciplinary committee evaluated potential IV infusion pumps for hospital use. In April 2004, the committee selected the Plum A+ infusion system with Hospira MedNet software and wireless capabilities (Hospira Inc., Lake Forest, IL). Implementation of the single-channel IV infusion system took place July through October 2005 following installation of the wireless infrastructure throughout the multicampus facility. Implementation occurred in July, one campus at a time; the three smaller satellite campuses went “live” before the main campus. Implementation of the triple-channel IV infusion system took place in March 2006 when the wireless infrastructure was completed and fully functional throughout the campuses, software was upgraded, and drug library revisions were completed and uploaded. Conclusion “Intelligent” pump technology provided a framework to standardize drug concentrations used in the intensive care units. Implementation occurred transparently without any compromise of patient care. Many lessons were learned during implementation that explained the initial suboptimal compliance with safety software use. In response, the committee developed strategies to increase software utilization rates, which resulted in improved acceptance by nursing staff and steadily improving compliance rates. Wireless technology has supported remote device management, prospective monitoring, the avoidance of medication error, and the timely education of health care professionals regarding potential medication errors.


2007 ◽  
Vol 5 ◽  
pp. 153-156 ◽  
Author(s):  
S. Schelkshorn ◽  
J. Detlefsen

Abstract. An increasing number of modern applications and services is based on the knowledge of the users actual position. Depending on the application a rough position estimate is sufficient, e. g. services in cellular networks that use the information about the users actual cell. Other applications, e. g. navigation systems use the GPS-System for accurate position finding. Beyond these outdoor applications a growing number of indoor applications requires position information. The previously mentioned methods for position finding (mobile cell, GPS) are not usable for these indoor applications. Within this paper we will present a system that relies on the simultaneous measurement of doppler signals at four different positions to obtain position and velocity of an unknown object. It is therefore suiteable for indoor usage, extendig already existing wireless infrastructure.


Author(s):  
Peter F. Cowhey ◽  
Jonathan D. Aronson ◽  
Donald Abelson

Author(s):  
Monika Rani ◽  
Harish Kumar

VANET is a type of Mobile Ad-hoc network (MANET) that provides wireless communication between close by moving vehicles as well as between vehicles and road side fixed equipment. It requires the vehicles to be equipped with sensors and wireless devices and fixed roadside wireless infrastructure. There are number of research issues like Highly Dynamic Topology, Signal fading, Limited Bandwidth, Intermittent Connectivity, Mobility Modelling, Propagation Model, Routing which needs attention. The scope of this chapter is focused on various advances in Greedy Forwarding routing techniques. Various VANET routing protocols are reviewed and compared in this chapter.


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