Received signal strength based vertical handoff algorithm in 3G cellular network

Roy, Sanjay Dhar; Anup, S

doi:10.1109/icspcc.2012.6335659

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…The received signal strength of UMTS can be predicted by using a path loss model [14]. Similarly in WLAN, the RSS can be predicted by using a propagation model [7] 100 RSS(x) 10log (39.37x)…”

Section: B Rss Predictionmentioning

confidence: 99%

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

Madaan¹,

Kashyap²

2016

IJCNIS

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Abstract-Next generation wireless network (NGWN) is a mixture of various heterogeneous technology. It allows the global information access to the user while moving from one network to another. The challenging issue in NGWNs to design an intelligent vertical handoff decision algorithm beyond traditional one. The traditional algorithms are based on signal strength only to determine the right time and right network. But, these algorithms have a large number of unnecessary handoff due to fluctuating RSS. Although, the number of unnecessary handoffs can be reduced by an RSS with hysteresis margin scheme. But these algorithms increases the risk of high dropping and low utilization. Therefore, the aim of our research is to develop a vertical handoff decision algorithm that can select an optimum target network based on bandwidth requirement, battery power, cost of service, network performance and network condition. By the implementation of our algorithm, we can provide a mechanism that can select the best network at the appropriate time and provides the uninterrupted services to mobile users, that allows connectivity between universal mobile telecommunication system (UMTS) and wireless local area network (WLAN). The inclusion of hysteresis margin and dwell time in predicted RSS helps in reducing the early handoff, ping pong effect, decision delay and utilization rate.

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Section: B Rss Predictionmentioning

confidence: 99%

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

Madaan¹,

Kashyap²

2016

IJCNIS

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“…From the perspective of network, the profit of suppliers [4] and other factors are considered to maximize the use of existing network resource and ensure the handover couldn't happen frequently to avoid the "PingPong Effect" [5]. Literature [6] presented a method based on RSS (received signal strength) vertical handover decision scheme. With bandwidth introduced, the average value of RSS was used in the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Coarse and Fine-Grained Crossover Free Search Based Handover Decision Scheme with ABC Supported

Wang

Huang

2013

2013 12th International Symposium on Distributed Computing and Applications to Business, Engineering &Amp; Science

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To find an optimal handover solution of terminal users under heterogeneous wireless networks, Pareto optimum under Nash equilibrium of users' utility and network provider utility is achieved or approached for the found solution. QoS (quality of service) requirements, user preferences to access network coding schemes, user preferences to access network providers, user handoff history record, costs user willing to pay and the profit of suppliers are considered comprehensively in this paper. With introducing the knowledge of fuzzy mathematics and microeconomics, access networks and terminals are described. With the help of gaming analysis, an intelligent handover decision scheme with ABC (always best connected) supported is proposed by using coarse-grained and fine-grained crossover free search based intelligent optimization algorithm. After carrying out simulation and performance evaluation, the results show that the mechanism proposed in this paper is feasible and effective.Keywords-NGI (next generation Internet); QoS (quality of service); ABC (always best connected); handover decision; intelligent optimization algorithm; search based on coarsegrained and fine-grained crossover

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A Quantum-Inspired Immune Clonal Algorithm Based Handover Decision Mechanism with ABC Supported

Liu

Wang

et al. 2015

Lecture Notes in Computer Science

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Received signal strength based vertical handoff algorithm in 3G cellular network

Cited by 9 publications

References 13 publications

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

Coarse and Fine-Grained Crossover Free Search Based Handover Decision Scheme with ABC Supported

A Quantum-Inspired Immune Clonal Algorithm Based Handover Decision Mechanism with ABC Supported

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