A Comparison Study on Selective Traffic Models with Handoff Management Scheme for Wireless Mobile Network Infrastructure

Bhowmik, Biswajit

doi:10.5815/ijitcs.2013.02.07

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…Lots of work has been done on vertical handoff decision algorithms and comparative analysis was also done by researchers to evaluate their performance, In [11], B. Bhowmik have made a comparative study of selective traffic models to show how a handoff procedure has a significant impact on wireless mobile network performance in terms of new call blocking probability and the forced termination of ongoing calls and the number of mobile nodes that get serviced by the underlying base station. The various vertical decision algorithms can be grouped in following six categories for comparative analysis:…”

Section: Related Workmentioning

confidence: 99%

Vertical Handoff with Predictive Received Signal Strength in Next Generation Wireless Network

Madaan¹,

Kashyap²

2016

IJCNIS

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Since the last few decades, tremendous innovations and inventions have been observed in every field, but especially in wireless network technology. The prevailing demand curves and trends in this particular area of communication show the importance of real-time multimedia applications over several networks with guaranteed quality of service (QoS). The Next Generation Wireless Network (NGWN) consists of heterogeneous wireless networks that will grant high data rate and bandwidth to mobile users. The primary aim of Next Generation Wireless Network (NGWN) is to conceal heterogeneities and to achieve convergence of diverse networks to provide seamless mobility. So that mobile user can move freely between networks without losing the connection or changing the setting at any moment. When the mobile user moves between different networks, there is a requirement to handover the channel, from one network to another by considering its services, features and user preferences. Channel handover between two different networks is done with the help of vertical handoff (VHO). In a heterogeneous environment, numerous technologies co-exist with their unique characteristics. Therefore, it is very difficult to design efficient handoff decision algorithm. The poorly designed handoff algorithm tends to increase the traffic load and, thereby tend to dramatic decrease in quality of service. A mobile node equipped with multiple network interfaces will be able to access heterogeneous wireless access network. But the availability of alternatives give rise to a problem of unnecessary handoff. To avoid this, we have proposed a decision algorithm based on predictive received signal strength, hysteresis margin and dwell time to select an optimum target network. The handoff policies are designed using received signal strength (RSS), available bandwidth, service cost, user preference, type of application and network condition to reduce the number of handoffs, decision delay, probability of handoff failure and probability of unnecessary handoff. We have also made a comparative analysis of various vertical handoff decision algorithms in this paper.

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Section: Related Workmentioning

confidence: 99%

Vertical Handoff with Predictive Received Signal Strength in Next Generation Wireless Network

Madaan¹,

Kashyap²

2016

IJCNIS

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“…In [5] P. Payaswini, and D. H. Manjaiah have proposed a media independent Vertical handoff decision algorithm based on dynamic weights, mobile node preference and network condition to improve throughput, handoff latency and packet drop rate. In [6] B. Bhowmik have make a comparative study on selective traffic models to show how a handoff procedure has a significant impact on wireless mobile network performance in terms of new call blocking probability and the forced termination of ongoing calls and the number of mobile nodes that get serviced by underlying base station. In [7] N. Zhang, and J.M.…”

Section: Related Workmentioning

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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“…When a subscriber with an active call crosses cells, the call should be transferred from one cell to another in order to achieve call continuation during this cell boundary crossing. Handoff is the process of changing the channel of the current connection while communication is in progress [12] [13]. It is always occur when a call is crossing a cell boundary or there is deterioration in signal quality in the current channel.…”

Section: Introductionmentioning

confidence: 99%

Multi-Level Access Priority Channel Allocation with Time Threshold in Global System for Mobile Communications (GSM) Networks

Kuboye¹,

Alese²,

Adewale³

et al. 2015

IJITCS

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Abstract-The focus of this work is on how the congestion experienced on the GSM network can be minimized. The voice calls is broken into sub-classes of services and a level of priority is established among the classes so that the most urgent and important service will have access to the channel by preempting the lower priority services during congestion. The voice communications over the GSM network using the different classes of subscribers were analyzed with Markov chain's model. The steady state probabilities for voice services were derived. The blocking and dropping probabilities models for the different services were developed using the Multi-dimensional Erlang B. To give a new call a fair sharing of the channel, TimeThreshold scheme is employed. This scheme classifies handoff call as either prioritised call or new call according to its associated elapsed real time value. The models were implemented based on the blocking and dropping probabilities models to show how the congestion can be minimised for different subscribers based on their priority levels. The work shows that the models used gave significant reduction in congestion when compared to the traditional Erlang-B model used in GSM.

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A Comparison Study on Selective Traffic Models with Handoff Management Scheme for Wireless Mobile Network Infrastructure

Cited by 7 publications

References 16 publications

Vertical Handoff with Predictive Received Signal Strength in Next Generation Wireless Network

Vertical Handoff with Predictive Received Signal Strength in Next Generation Wireless Network

Vertical Handoff Decision Algorithm Based on PRSS and Dwell Time

Multi-Level Access Priority Channel Allocation with Time Threshold in Global System for Mobile Communications (GSM) Networks

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