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Reliable Vertical Handoff Technique Based on Probabilistic Classification Model

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Smart and Innovative Trends in Next Generation Computing Technologies (NGCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 828))

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Abstract

The Next Generation wireless network framework has introduced cooperative communication philosophy to provide better service to the clients. Vertical Handoff is one such cooperative technique, which switches the client’s network from the current to another in-order to continue providing requested Quality of Service (QoS). There are multiple parameters that need to be considered for achieving vertical handoff such as-service cost, data rate, mobile device speed, network latency, interference ratio, device battery level, Received Signal Strength Information (RSSI) etc.

Until now, vertical hand off schemes have targeted to achieve effective selection of suitable alternate networks in providing required connection transfer. Many classification schemes based on Neural Networks, Support Vector Machine were utilized in designing vertical handoff techniques. These techniques do a good job in choosing suitable alternate networks, but, once the handoff is made, there is no guarantee that, the new network will continuously provide the requested QoS. The client might require new handoff if the recently migrated network is not able to deliver the specified QoS. Frequent handoff’s can be expensive and inefficient for the client. Ideally, when making the first handoff, it is important to consider the reliability of new networks in continuously providing the requested QoS. In the existing literature, this problem has not been properly addressed.

In this work, new vertical handoff scheme is proposed, which addresses the reliability issue. This proposed vertical handoff scheme is built over probabilistic classification model. Empirical results obtained through simulation, reveal the excellent effectiveness of the proposed vertical handoff scheme.

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Authors and Affiliations

  1. Department of ISE, BIT, Bangalore, India

    C. S. Jayasheela

  2. Department of CSE, BMSCE, Bangalore, India

    Gowrishankar

Authors
  1. C. S. Jayasheela
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  2. Gowrishankar
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Correspondence to C. S. Jayasheela .

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Editors and Affiliations

  1. Indian Institute of Technology Patna, Patna, Bihar, India

    Pushpak Bhattacharyya

  2. University of Petroleum and Energy Studies, Dehradun, India

    Hanumat G. Sastry

  3. University of Petroleum and Energy Studies, Dehradun, India

    Venkatadri Marriboyina

  4. University of Petroleum and Energy Studies, Dehradun, India

    Rashmi Sharma

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Jayasheela, C.S., Gowrishankar (2018). Reliable Vertical Handoff Technique Based on Probabilistic Classification Model. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-10-8660-1_11

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  • DOI: https://doi.org/10.1007/978-981-10-8660-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8659-5

  • Online ISBN: 978-981-10-8660-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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