Context-awareness handoff planning in heterogeneous wireless networks

Hsiao Yun Huang*, Chiung Ying Wang, Ren Hung Hwang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations


This paper addresses a context-awareness handoff planning mechanism in heterogeneous wireless networks for seamless ubiquitous access. The proliferation of digital devices with communication capability heralds the era of ubiquitous computing, as predicted by Mark Weiser. Mobile devices with multi-mode interfaces can access heterogeneous wireless networks, such as wireless local area network (WLAN), worldwide interoperability for microwave access (WiMAX) network and third generation (3G) network. In heterogeneous wireless networks, different network provides different network capability, transmission range, data rate, access cost, security policy and quality of service. Therefore, a ubiquitous access aims to provide users intelligent human-centric context-aware handoff mechanism in heterogeneous wireless networks at anytime anywhere is gradually become an important issue. Optimal handoff planning in heterogeneous wireless networks considers the needs of users, accessing service and the surrounding context. However, most of existing handoff mechanisms only considered few contexts that lead to not able to select the most suitable network for individual user. In this paper, we propose a human-centric context-aware solution to access most appropriate network that satisfies individual user's requirement, fulfills seamless data transmission and reduces handoff delay. We develop two integrated approaches for context-awareness handoff planning mechanisms, namely MADM approach and GA approach. The MADM approach contains initial process and decision process. Initial process weights context by Analytic Hierarchy Process (AHP) method while decision process selects the most appropriate network by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The GA approach uses Genetic Algorithm to minimize handoff under given QoS constraints. Performance of proposed mechanisms is evaluated under different services with different QoS considerations. Our simulation results show that both mechanisms are able to derive a proper network handoff plan which guarantees QoS requirements and reduces delay, jitter, and number of handoffs.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 7th International Conference, UIC 2010, Proceedings
PublisherSpringer Verlag
Number of pages15
ISBN (Print)3642163548, 9783642163548
StatePublished - 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6406 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • context-awareness
  • genetic algorithm
  • handoff
  • heterogeneous wireless networks
  • human-centered computing
  • MADM
  • Ubiquitous computing


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