2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) 2011
DOI: 10.1109/infcomw.2011.5928843
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A dynamic context-aware access network selection for handover in heterogeneous network environments

Abstract: Abstract-Context-awareness is a key ingredient in any ubiquitous and pervasive system and provides intelligence to the system, allowing computing devices to make appropriate and timely decisions on behalf of users. One of the important aspects of mobility management is the dynamic selection of the best access network for a multimodal device when there is a need to perform a handover. Multi Attribute Decision Making (MADM) is one of the successfully used methods in the literature to solve decision making proble… Show more

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Cited by 36 publications
(17 citation statements)
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“…Let H C and H ¡ represent the positive and negative distance from each parameter as shown in following Eqs. (11) and (12).…”
Section: Network Selection Phasementioning
confidence: 96%
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“…Let H C and H ¡ represent the positive and negative distance from each parameter as shown in following Eqs. (11) and (12).…”
Section: Network Selection Phasementioning
confidence: 96%
“…But the scheme does not provide the working of handover initiation phase. A scheme based on weighted product method decision model has been proposed to address the issue present in the previous scheme [11]. The proposed scheme is almost similar to the previous scheme except the weight assignment mechanism.…”
Section: Related Workmentioning
confidence: 99%
“…A scheme based on decision making has been proposed in [54]. The proposed scheme modified WPM on the basis of a weighted distribution method using the state of a user at a given time.…”
Section: Network Centric Approaches: State Of the Artmentioning
confidence: 99%
“…They describe the algorithms based on the main handover decision criterion used and evaluate tradeoffs between their implementation complexity and efficiency. Authors of [21], consider a modified Weighted Product Method (WPM) for access network selection. Their approach uses a weight distribution method to assign the weight of each criterion and make decision based on WPM and TOPSIS method.…”
Section: Related Workmentioning
confidence: 99%