scholarly journals Extending Real Time Mobile Collaboration Algorithms to Handle Membership Events in an Ad-Hoc Mobile Network

Author(s):  
Sandy Citro ◽  
Jim McGovern ◽  
Caspar Ryan

The Vehicular Ad-hoc network, or VANET, is for sharing of emergency and safety information among vehicles to ensure safe travelling of users in road. It is the technology that considers moving cars as nodes to create a mobile network. VANET turns every participating car into wireless router or node, allowing cars to establish communication. Vehicles can communicate within themselves (V2V) and also with the road side units (V2I). Vehicles communicating with other vehicles are likely to enhance the driving experience, awareness, situation perception and thus safety. In response to the problem of drastically increasing road accidents and climatic disasters like smoke, fog etc., we have designed and tested in various traffic scenarios of Kathipara(area in Chennai Tamilnadu), T.Nagar(area in Chennai, Tamilnadu), highway and a village . Each scenario is very different from each other; like Kathipara having moderate real time traffic, T.Nagar having extensive dense traffic, highways with irregular traffic and villages which having very few vehicles for most time. We designed the placement of RSUs(Road Side Units) in each scenario and we analyzed the delay and packet delivery ratios(PDR) in each scenario. These results would guarantee the use of VANET in real time. Yet another traffic scenario we have considered is what happens in marine environment. Unintentional International border crossing by fishermen and hardships encountered by fishermen due to extreme weather conditions are the motivation behind our conceptualizing a network for communication among boats which can be called a BANET (Boat Adhoc Vehicular Network)


2021 ◽  
Author(s):  
Hossein Rahnama

An emerging research area in pervasive computing is the inference of social context in order to facilitate and mediate communications among collocated people. Understanding users' needs through information reasoning and leveraging principles of social networks plays an important role in the emergence of innovative computer-mediated social networks. This thesis introduces a generic social networking framework for the design, analysis and visualization of opportunistic social networks. The proposed framework is capable of analyzing social similarities in order to provide decision support to users in the form of ego-centric social graphs. Using opportunistic data networks, a distributed inference model is introduced to provide multi-criteria attribute matching in an ad hoc computing environment. Enhancing communications protocols to deal with real-time analysis of dynamic data, generation of spontaneous semantics, and introducing efficient social visualization techniques are salient goals of this research. Efficient pattern matching algorithms in mobile ad hoc networks can have significant benefits in generating real-time context and eliminate the need for a centralized arbiter. In our research, we demonstrate a generic and customizable software architecture for achieving efficient pattern matching in mobile ad hoc networks. In this research we present a novel design for the development of a generic matching engine that is customizable to changing social scenarios. We show how customizable semantics can play an important role in decision-making, selection of a desired attribute, and notifying users with messages in a volatile mobile network.


2021 ◽  
Author(s):  
Hossein Rahnama

An emerging research area in pervasive computing is the inference of social context in order to facilitate and mediate communications among collocated people. Understanding users' needs through information reasoning and leveraging principles of social networks plays an important role in the emergence of innovative computer-mediated social networks. This thesis introduces a generic social networking framework for the design, analysis and visualization of opportunistic social networks. The proposed framework is capable of analyzing social similarities in order to provide decision support to users in the form of ego-centric social graphs. Using opportunistic data networks, a distributed inference model is introduced to provide multi-criteria attribute matching in an ad hoc computing environment. Enhancing communications protocols to deal with real-time analysis of dynamic data, generation of spontaneous semantics, and introducing efficient social visualization techniques are salient goals of this research. Efficient pattern matching algorithms in mobile ad hoc networks can have significant benefits in generating real-time context and eliminate the need for a centralized arbiter. In our research, we demonstrate a generic and customizable software architecture for achieving efficient pattern matching in mobile ad hoc networks. In this research we present a novel design for the development of a generic matching engine that is customizable to changing social scenarios. We show how customizable semantics can play an important role in decision-making, selection of a desired attribute, and notifying users with messages in a volatile mobile network.


Author(s):  
Bodhy Krishna .S

A wireless ad hoc network is a decentralized type of wireless network. It is a type of temporary computer-to-computer connection. It is a spontaneous network which includes mobile ad-hoc networks (MANET), vehicular ad-hoc networks (VANET) and Flying ad-hoc networks (FANET). A MANET is a network that has many free or autonomous nodes often composed of mobile devices that can operate without strict top-down network administration [1]. A VANET is a sub form of MANET. It is a technology that uses vehicles as nodes in a network to create a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. This paper discusses the characteristics of these three ad-hoc networks.


2006 ◽  
Vol 8 (2) ◽  
pp. 356-369 ◽  
Author(s):  
Shiwen Mao ◽  
D. Bushmitch ◽  
S. Narayanan ◽  
S.S. Panwar

2014 ◽  
Vol 530-531 ◽  
pp. 768-772
Author(s):  
Guo Ping Tan ◽  
Lin Feng Tan ◽  
Lei Cao ◽  
Mei Yan Ju

For the study of the applications of partial network coding based real-time multicast protocol (PNCRM) in Mobile Ad hoc networks, the researches should be developed in the probability distribution of delay. In this paper, NS2 is used to obtain the delay of data packets through simulations. Because the delay does not obey the strict normal distribution, the maximum likelihood estimate method based on the lognormal distribution is used to process the data. Using MATLAB to obtain the actual distribution of the natural logarithm of delay, then drawing the delay distribution with the maximum likelihood estimation method based on the lognormal distribution, the conclusion that the distributions obtained by the above mentioned methods are basically consistent can be obtained. So the delay distribution of PNCRM meets the lognormal distribution and the characteristic of delay probability distribution can be estimated.


2005 ◽  
Vol 12 (3) ◽  
pp. 147-157
Author(s):  
Giuseppe Caizzone ◽  
Paolo Giacomazzi ◽  
Luigi Musumeci ◽  
Gabriella Saddemi ◽  
Giacomo Verticale

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 285
Author(s):  
Chuchart Pintavirooj ◽  
Tanapon Keatsamarn ◽  
Treesukon Treebupachatsakul

Telemedicine has become an increasingly important part of the modern healthcare infrastructure, especially in the present situation with the COVID-19 pandemics. Many cloud platforms have been used intensively for Telemedicine. The most popular ones include PubNub, Amazon Web Service, Google Cloud Platform and Microsoft Azure. One of the crucial challenges of telemedicine is the real-time application monitoring for the vital sign. The commercial platform is, by far, not suitable for real-time applications. The alternative is to design a web-based application exploiting Web Socket. This research paper concerns the real-time six-parameter vital-sign monitoring using a web-based application. The six vital-sign parameters are electrocardiogram, temperature, plethysmogram, percent saturation oxygen, blood pressure and heart rate. The six vital-sign parameters were encoded in a web server site and sent to a client site upon logging on. The encoded parameters were then decoded into six vital sign signals. Our proposed multi-parameter vital-sign telemedicine system using Web Socket has successfully remotely monitored the six-parameter vital signs on 4G mobile network with a latency of less than 5 milliseconds.


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