Autonomic personalized handover decisions for mobile services in heterogeneous wireless networks

Kang, Joon-Myung; Strassner, John; Seo, Sin-seok; Hong, James Won‐Ki

doi:10.1016/j.comnet.2011.01.021

Cited by 30 publications

(30 citation statements)

References 7 publications

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“…There are various algorithms that are available to solve the optimization problem given (14). Examples include the value iteration, policy iteration, and action elimination algorithms.…”

Section: Fuzzy Logic Determines the Attribute Weightmentioning

confidence: 99%

“…The solutions of the (14) correspond to the maximum expected υ(c). There are various algorithms that are available to solve the optimization problem given (14).…”

Section: Fuzzy Logic Determines the Attribute Weightmentioning

confidence: 99%

“…2) multi-attribute intelligent handoff algorithm based on fuzzy logic [9][10][11][12][13][14][15][16][17][18] or artificial neural networks [19] : mobile node combines with network performance, user characteristics and traffic type to make a comprehensive vertical handoff decision; this intelligent approach for decision-making, makes the switch more effective and reliable, but the complexity of the algorithm is relatively high, considering that the artificial neural networks also require lengthy pre-learning process, which is not suitable for the mobile node whose computing power and energy are limited. In the vehicle heterogeneous networks, the vehicle terminal (VT) in energy consumption and computational capabilities have certain safeguards, however accuracy and efficiency of the network switch are the most important issue.…”

Section: Introductionmentioning

confidence: 99%

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An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

Hong

Xie

et al. 2015

China Commun.

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In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service (QoS) of vehicle terminal's communication service. Firstly, Markov process is used to predict the transformation of wireless network's status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that: the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.

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“…There are various algorithms that are available to solve the optimization problem given (14). Examples include the value iteration, policy iteration, and action elimination algorithms.…”

Section: Fuzzy Logic Determines the Attribute Weightmentioning

confidence: 99%

“…The solutions of the (14) correspond to the maximum expected υ(c). There are various algorithms that are available to solve the optimization problem given (14).…”

Section: Fuzzy Logic Determines the Attribute Weightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

Hong

Xie

et al. 2015

China Commun.

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“…Reduced handover delay, reduced latency, lower packet loss, successful handover, intelligent network selection, users satisfaction High complexity, higher decision processing delays, high signaling overhead [17], [18], [37], [38], [39], [40] Context-based Scheme…”

Section: Rss-based Schemementioning

confidence: 99%

Fuzzy Logic-based Intelligent Scheme for Enhancing QoS of Vertical Handover Decision in Vehicular Ad-hoc Networks

Azzali

Ghazali

Omar

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The design of next generation networks in various technologies under the "Anywhere, Anytime" paradigm offers seamless connectivity across different coverage. A conventional algorithm such as RSSThreshold algorithm, that only uses the received strength signal (RSS) as a metric, will decrease handover performance regarding handover latency, delay, packet loss, and handover failure probability. Moreover, the RSS-based algorithm is only suitable for horizontal handover decision to examine the quality of service (QoS) compared to the vertical handover decision in advanced technologies. In the next generation network, vertical handover can be started based on the user's convenience or choice rather than connectivity reasons. This study proposes a vertical handover decision algorithm that uses a Fuzzy Logic (FL) algorithm, to increase QoS performance in heterogeneous vehicular ad-hoc networks (VANET). The study uses network simulator 2.29 (NS 2.29) along with the mobility traffic network and generator to implement simulation scenarios and topologies. This helps the simulation to achieve a realistic VANET mobility scenario. The required analysis on the performance of QoS in the vertical handover can thus be conducted. The proposed Fuzzy Logic algorithm shows improvement over the conventional algorithm (RSSThreshold) in the average percentage of handover QoS whereby it achieves 20%, 21% and 13% improvement on handover latency, delay, and packet loss respectively. This is achieved through triggering a process in layer two and three that enhances the handover performance. IntroductionUsers' demand for mobile Internet access is increasing every day. Several types of radio access technologies are available and implemented with their own properties such as bandwidth, response time and coverage area. These properties are essential due to the development of applications and services that require large bandwidths, low latency, anywhere and anytime connection alive without disconnection and so on. However, to accommodate these needs, new and better networks are being specified and developed. For example, popular applications among mobile users nowadays include those used for video conferencing, email, messaging and even live TV. Most of these applications necessitate that the connection be maintained as the device move from one access point (AP) to another. Sometimes a mobile user needs to change the connection to another type of network. Vertical handover mechanisms can be used for seamless mobility and better service quality in networks.The main problems with current handover mechanism are a lot of unnecessary handovers and dropped calls [1]. The unnecessary handovers and dropped calls occur due to low signal, and the long distance between the device and the AP or Base Station. Furthermore, these problems can also occur in overlapping areas where mobile users travel quickly back and forth between one cell and the next cell in the network. The conventional handover algorithm (e.g. RSS-based algorithm) is more suitable

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“…Hard handoff, also called "break before make", involve only one BS or AP at a time. The MS must break its connection from the current access network before it can connect to a new one [4]. In a soft handoff, also called "make before break", an MS can communicate and connect with more than one access network during the handoff process.…”

Section: Organization Of the Thesismentioning

confidence: 99%

Vertical Handoff Target Selection in a Heterogeneous Wireless Network Using Fuzzy ELECTRE

Ramalingam¹

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Autonomic personalized handover decisions for mobile services in heterogeneous wireless networks

Cited by 30 publications

References 7 publications

An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

Fuzzy Logic-based Intelligent Scheme for Enhancing QoS of Vertical Handover Decision in Vehicular Ad-hoc Networks

Vertical Handoff Target Selection in a Heterogeneous Wireless Network Using Fuzzy ELECTRE

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