Emerging mobile and wireless networks

Varshney, Upkar; Vetter, Ron

doi:10.1145/336460.336478

Cited by 212 publications

(94 citation statements)

References 10 publications

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“…The technology allowing computing capability on the move using portable devices through wireless networks is mobile technology (Varshney and Vetter, 2000;Malladi and Agrawal, 2002). Imortance of mobile technology is increasing in organization (Gayeski, 2002;Andersen et al, 2003).…”

Section: Literature Reviewmentioning

confidence: 99%

Increasing Organization’s Overall Performance through Mobile Technology: Albania Case Study

Këlliçi¹,

Baholli²,

Sharko³

2015

MJSS

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Information, performance and cost saving are the key elements where organizations are investing money, energy and efforts. Any organization wants to offer the best tools to its employees and also wants to increase its efficiency by making them work offsite. In this study I will analyze the impact of the mobile technology implementation to end users and their behavior toward it. Part of this study shows how this technology helps the organization to reduce its impact on the environment and its operational costs. This study shows how users from different ranges of age and education react to mobile technology and analyzes the overall performance of these users and the processes related to their daily operation. Mobility of field employees is the key forincreasing the organization's overall performance, the quality of data and it helps the organization to manage its resources better.

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Section: Literature Reviewmentioning

confidence: 99%

Increasing Organization’s Overall Performance through Mobile Technology: Albania Case Study

Këlliçi¹,

Baholli²,

Sharko³

2015

MJSS

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“…WSNs consist of a large number of small sensor nodes and these nodes are very cheap in terms of cost [1,2]. This is mostly, because wireless networks processes the authority of services for long-distance communication was wires cannot be implemented [3,4]. Therefore, WSNs can also be assimilated with other communication channel such as the IEEE 802.11, Internet, cellular and etc.…”

Section: Introductionmentioning

confidence: 99%

Minimization of Packet Congestion in Wireless Sensor Networks

2018

Oct. 17-19, 2017 Dubai (UAE)

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“…Mobile computing applications have generally to cope with a highly heterogeneous environment, characterized by a large variance in both the computing capacity of the hosting nodes (that span portable devices and powerful fixed hosts) and in the available communication bandwidth, that can range from tens of Kbps to tens of Mbps, depending on the type of wireless or wired network [12]. Moreover, these environment conditions can also rapidly change because of the physical mobility, that can cause a mobile node to connect to different nodes, or to enter zones covered by different wireless networks, or not covered at all.…”

Section: Introductionmentioning

confidence: 99%

A UML Profile to Model Mobile Systems

Grassi

Mirandola

Sabetta

2004

Lecture Notes in Computer Science

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Abstract. The introduction of adaptation features in the design of applications that operate in a mobile computing environment has been suggested as a viable solution to cope with the high heterogeneity and variability of this environment. Mobile code paradigms can be used to this purpose, since they allow to dynamically modify the load of the hosting nodes and the internode traffic, to adapt to the resources available in the nodes and to the condition of the (often wireless) network link. In this paper we propose a UML profile to deal with all the relevant issues of a mobile system, concerning the mobility of both physical (e.g. computing nodes) and logical (e.g. software components) entities. The profile is defined as a lightweight customization of the UML 2.0 metamodel, so remaining fully compliant with it. In the definition of this profile, the underlying idea has been to model mobility (in both physical and logical sense) as a feature that can be "plugged" into a pre-existing architecture, to ease the modelling of both different physical mobility scenarios, and of different adaptation strategies based on code mobility. Besides defining the profile, we give some examples of use of its features.

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Emerging mobile and wireless networks

Cited by 212 publications

References 10 publications

Increasing Organization’s Overall Performance through Mobile Technology: Albania Case Study

Increasing Organization’s Overall Performance through Mobile Technology: Albania Case Study

Minimization of Packet Congestion in Wireless Sensor Networks

A UML Profile to Model Mobile Systems

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