Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

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Jyoti Madaan 1,* Indu Kashyap 1

1. Manav Rachna International University, Faridabad 121003, India

* Corresponding author.


Received: 10 Jan. 2016 / Revised: 2 Mar. 2016 / Accepted: 1 May 2016 / Published: 8 Jul. 2016

Index Terms

Vertical handoff decision (VHD), received signal strength (RSS), horizontal handoff (HHO), vertical handoff (VHO), next generation wireless networks (NGWN’s)


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 algo-rithms 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 per-formance 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 pro-vides the uninterrupted services to mobile users, that al-lows connectivity between universal mobile telecommu-nication 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.

Cite This Paper

Jyoti Madaan, Indu Kashyap, "Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time", International Journal of Computer Network and Information Security(IJCNIS), Vol.8, No.7, pp.31-42, 2016. DOI:10.5815/ijcnis.2016.07.05


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