Location-Based Service (LBS) data sharing using the k-member-limited clustering mechanism over the 4G and Wi Fi hybrid wireless mobile networks

In a group touring scenario, the group leader can enable his handheld device's Wi Fi hot spot function to let other members to connect with. Then, the group leader can download Point Of Interests' (POIs') data from the content server through 3G/3.5G/4G cellular network and then forward those downloaded data to the connected clients using Wi Fi. That is, the group leader also plays the role of a mobile proxy. Nevertheless, mobile users may move randomly such that they may leave their current group leader and move toward the other group leader. This work proposed a handoff mechanism such that mobile users can move from the currently connected Wi Fi hot spot, for which the received signal strength is becoming weak, and to a new Wi Fi hot spot/mobile proxy, for which the received signal strength is becoming stronger. Since the current handheld device only allows a limited number of handheld devices to connect with its Wi Fi hot spot, it is not so straightforward to tackle the handoff issue. This work devised a K-CAMP clustering scheme to tackle the handoff issue exists in the aforementioned group-based touring scenario.

[1]  Heon Jeong,et al.  A u-tour system for a tour leader in a guided group package tour , 2012, 2012 IEEE Symposium on Wireless Technology and Applications (ISWTA).

[2]  Janez Bester,et al.  A survey on clustering algorithms for vehicular ad-hoc networks , 2012, 2012 35th International Conference on Telecommunications and Signal Processing (TSP).

[3]  HeeKyung Lee,et al.  Location-based personalized social media service for the Smart Phone: Distributed social contents sharings , 2011, 2011 International Conference for Internet Technology and Secured Transactions.

[4]  Pascal Bouvry,et al.  Survey on Broadcast Algorithms for Mobile Ad Hoc Networks , 2015, ACM Comput. Surv..

[5]  Chung-Ming Huang,et al.  DEH: A Ubiquitous Heritage Exploring System Using the LBS Mechanism , 2011, 2011 14th International Conference on Network-Based Information Systems.

[6]  Charalampos Konstantopoulos,et al.  A personalized multimodal tourist tour planner , 2014, MUM.

[7]  Keqiu Li,et al.  Tour-Guide: Providing Location-Based Tourist Information on Mobile Phones , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[8]  Chung-Ming Huang,et al.  Energy-Aware Group LBS Using D2D Offloading and M2M-Based Mobile Proxy Handoff Mechanisms Over the Mobile Converged Networks , 2016, IEEE Transactions on Emerging Topics in Computing.

[9]  Peter Woods,et al.  Designing and developing a location-based mobile tourism application by using cloud-based platform , 2013, 2013 International Conference on Technology, Informatics, Management, Engineering and Environment.

[10]  Roy Deddy Hasiholan Tobing Mobile tourism application for Samosir Regency on Android platform , 2015, 2015 International Symposium on Technology Management and Emerging Technologies (ISTMET).

[11]  Saleha Mubarak AlMheiri,et al.  MANETs and VANETs clustering algorithms: A survey , 2015, 2015 IEEE 8th GCC Conference & Exhibition.

[12]  Dirk Van Oudheusden,et al.  The City Trip Planner: An expert system for tourists , 2011, Expert Syst. Appl..

[13]  Jianxin Wang,et al.  Clustering algorithm in VANETs: A survey , 2015, 2015 IEEE 9th International Conference on Anti-counterfeiting, Security, and Identification (ASID).

[14]  Yuichiro Kinoshita,et al.  A tour route planning support system with consideration of the preferences of group members , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

[15]  Shan Li,et al.  Development and Application of Intelligent Tour Guide System in Mobile Terminal , 2015, 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation.