The future of mobile technology and mobile wireless computing

Hart, Jim; Hannan, Mike

doi:10.1108/10650740410567554

Cited by 10 publications

(4 citation statements)

References 1 publication

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“…Articles from this time mostly focused on the future of specific wireless technologies or new mobile applications. For instance, Hart and Hannan [2004] examined the future of mobile device screen technology, wireless connectivity, and battery life, and Varshney and Vetter [2002] presented an extensive list of emerging mobile commerce applications.…”

Section: The Future Of Wireless: Other Viewsmentioning

confidence: 99%

Whither Wireless? Future Directions in Mobility

Nickerson

2008

CAIS

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Wireless technology, including mobile phones, WiFi-enabled laptops, and Bluetooth-connected devices, has become entrenched in today's society, and we can expect this technology and its mobile applications to continue to evolve in the future. But what direction will this evolution take? The purpose of this paper is to look into the future and forecast where wireless is heading, recognizing full well that making such forecasts is fraught with danger. This paper first places the rise of wireless in an historical context relative to other important information technologies of the past. It then reviews mobile issues first presented in 2002 and examines where these issues stand today. The paper next looks at other views about the future of wireless. With this background the paper makes six forecasts about the future of wireless networks, mobile phones, wireless communications standards, wireless security, ultimate commerce, and the wireless market. Drawing on these forecasts, the paper describes several research questions that could yield valuable results in the wireless arena. The paper concludes with one final forecast.Although preliminary work on computers began earlier, the first major computers were developed in the 1940s and the first commercial applications appeared in the 1950s. These early decades, however, were largely ones of technological experimentation and efforts to determine where computers fit in organizations. It was really not until the 1960s that computers found a major place in businesses, and this place was with large, centrally located and controlled mainframe computers.In 1964, IBM introduced the System/360 family of mainframe computers, arguably the most successful line of computers, outside of PCs, ever sold. Along with the System/360 came IBM mainframe operating systems including OS/360. IBM had competitors, sometimes called the seven dwarfs: NCR, Burroughs, Honeywell, CDC, RCA, Univac, and GE, each with their own line of mainframe computers and operating systems.Mainframe computers were big machines kept in big rooms behind locked doors and only directly accessible by those who were highly trained to run them. The rest of us had to turn in our stacks of punch cards and wait hours or sometimes days to get the results back on reams of green and white striped paper. This was batch processing at its worst. The 1960s was an era of centralized computers and organizational applications that were hard to use. We think of it as sometime computing and central place computing. Volume 23Article 19 335

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Section: The Future Of Wireless: Other Viewsmentioning

confidence: 99%

Whither Wireless? Future Directions in Mobility

Nickerson

2008

CAIS

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“…The delay solution method for each node of the cloud platform is shown in formula (1). Delay of all nodes is the work delay of the cloud platform.…”

Section: Wireless Sensor Network Cloud Platformmentioning

confidence: 99%

“…With the rapid development of large data applications and the increasing demand for wireless mobile computing, [1] it has become the key to provide integrated service quality for wireless sensor networks [2]. Emerging big data applications [3] put forward a new and higher request to the communication network.…”

Section: Introductionmentioning

confidence: 99%

Crowd cloud routing protocol based on opportunistic computing for wireless sensor networks

Mao

2016

J Embedded Systems

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We proposed a crowd cloud routing protocol based on opportunistic computing to improve the data transmission efficiency, reliability, and reduce routing overhead in wireless sensor networks. Based on the analysis of the demand of big data processing in wireless sensor network, the data analysis and processing platform for wireless sensor network are designed based on the combination with the cloud computing. The cloud platform includes the main nodes, the nodes, and the core nodes. There are the engine and the drive between the wireless sensor network and the cloud server. Secondly, aiming at the problem of data transmission in the cloud platform, we design an opportunistic computing model which is suitable for wireless sensor networks to minimize the weight of routing management and network overhead. Then, we design an opportunistic calculation model to guarantee the data transmission scheme of the cloud platform. Finally, by eliminating the factors that may cause the link instability, the crowd cloud routing protocol is proposed. The experimental results show that the proposed crowd cloud routing protocol has the functions of real-time and reliability and reduces the cost of routing request.

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“…The limitations of end devices must be taken into account if such systems are to become really useful. These shortcomings include small screens, low data processing capacities, uncomfortable navigation and data input [5,6,7];. A possible way of coping with these shortcomings is to take account of the present context of the user and his or her personal preferences and adapt the application automatically [8].…”

Section: Introductionmentioning

confidence: 99%

Personalized Public-Transport Guidance Using Mobile End Devices

Christmann

Caus

Hagenhoff

IFIP – The International Federation for Information Processing

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Abstract. Mobility is a vital part of human life. Mobility needs can be met in a variety of ways: motorized and non-motorized individual traffic, local public transport using buses and trains, or mixed systems like taxis and park and ride systems. Individual traffic in particular causes major environment problems and problems of traffic congestion. Strengthening public transport is often favored, but this preference is not reflected in the number of local transport users. This phenomenon can be explained by the fact that a central problem involved in local public transport usage is its complexity. The article presented here develops demands on a personalized local public transport guidance system, analyzes existing systems and presents a solution for a personalized support system for users of local public transport systems. The software Hermes was developed for this purpose. It accompanies the travelers through all steps of public traffic usage -from checking time tables to purchasing tickets to a navigation system for pedestrians guiding the user to a street address destination.

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The future of mobile technology and mobile wireless computing

Cited by 10 publications

References 1 publication

Whither Wireless? Future Directions in Mobility

Whither Wireless? Future Directions in Mobility

Crowd cloud routing protocol based on opportunistic computing for wireless sensor networks

Personalized Public-Transport Guidance Using Mobile End Devices

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