227-236

• Almobaideen, Wesam
• Allan, Mamoon
• Saadeh, Maha

The spread of digital technologies offers a great potential for the creativity and innovation in all aspects of tourism industry. The integration between advanced technologies of ICT and tourism industry plays vital role in enhancing the tourism services and experiences, particularly, in the context of archaeological tourism. Following this, this study proposes a protocol that offers tourists site/destination and experiences according to their preferences. More specifically, tourists can express various preferences regarding the type of tourism site, their contention level in order to avoid crowded ones, the accessibility and convenience of different sections of a site, and the distance and congestion of the paths lead to such site …etc. Our Contention, Convenience and Accessibility based Smart Tourism-destination Approach (CASTA) is presented in this paper to offer online services for tourists assuming that they are always connected and they do not have advanced IT skills. A tourist has only to send a preference message that specifies all the personal constraints via a smart hand held device. A control unit that resides on the cloud analyzes the message and suggests a tour to certain sites and their sections based on the tourist preferences. Information about tourism sites and their sections, in terms of contention, convenience, and accessibility, is collected by wireless sensor networks and sent to the control unit via a gateway node. Results of simulated experiments of CASTA have shown that it outperforms the shortest path approach which suggests a tour based solely on the distance toward those tourism destinations. Moreover CASTA outperformance shortest path approach that takes the quality of network connections available over the selected paths

• History and Archaeology

• Αρχαιολογία

Archaeological site, Cloud-centric IoT, Internet of things IoT, Smart tourism destination, Tourism accessibility and convenience, Wireless sensor networks

Περιέχει 11 εικόνες

1. Al-Hasan, H., Qatawneh, M., Sleit, A., Almobaideen, W., EAPHRN: Energy-Aware PEGASIS-Based Hierarchal Routing Protocol for Wireless Sensor Networks (2011) Journal of American Science, 7 (8), pp. 753-758; Almobaideen, W., Saadeh, M., Al-Anbaki, N., Zaghloul, R., Aladwan, A., Geographical Route Selection Based On User Public Transportation and Service Preferences (2015) Proceedings of the 9th International Conference on Next Generation Mobile Applications, Services and Technologies; Angelaccio, M., Buttarazzi, B., Basili, A., Smart Web Image Galleries: An Example of MVC-Based Versatile System for Context-Aware Mobile Tours (2014) Smart Tourism 2014 First Forum on Smart City and Digital Tourism; Atzori, A., Morabito, G., The Internet of things: A survey (2010) Computer Networks, 54, pp. 2787-2805; Batty, M., Fosca, G., Bazzani, A., Ouzounis, G., (2012) Smart cities of the future. Working Papers Series, paper 188, Centre for Advanced Spatial Analysis, University College London; Borrego-Jaraba, F., Ruiz, I.L., Gomez-Nieto, M.A., A NFC-based pervasive solution for city touristic surfing (2011) Personal and Ubiquitous Computing, 15, pp. 731-742; Buhalis, D., Law, R., Progress in information technology and Tourism management. 20 years on and 10 years after the internet-the state of etourism research (2008) Tour Manag, 29 (4), pp. 609-623; Cormen, T., Leiserson, C., Rivest, R., Stein, C., (2001) Section 24.3: Dijkstra's algorithm. Introduction to Algorithms (Second ed.), pp. 595-601., MIT Press and McGraw-Hill. ISBN 0-262-03293-7; Jassim, M., Almobaideen, W., A Segment-based Tree Traversal Algorithm for Enhancing Data Gathering in Wireless Sensor Networks (2013) Proceedings of the 2013 International Conference on Electronics, Signal Processing and Communication Systems; Guo, Y., Liu, H., Chai, Y., The Embedding Convergence of Smart Cities and Tourism Internet of Things in China: An Advance Perspective (2014) Advances in Hospitality and Tourism Research, 2 (1), pp. 54-69; Ho, C., Lee, Y., The development of an e-travel service quality scale (2007) Tourism Management, 28 (6), pp. 1434-1449; Komninos, N., Pallot, M., Schaffers, H., Special Issue on Smart Cities and the Future Internet in Europe (2013) Journal of the Knowledge Economy, 4 (2), pp. 119-134; MacKay, K., Vogt, C., Information Technology in Everyday and Vacation Contexts (2012) Annals of Tourism Research, 39 (3), pp. 1380-1401; Mingjun, W., Wei, Z., Xishang, D., Xiaofei, Y., Chenggang, S., A research on experimental system for Internet of things major and application project (2012) System Science, Engineering Design and Manufacturing Information (ICSEM), , Chengdu; Nam, T., Pardo, T.A., Conceptualizing Smart City with Dimensions of Technology, People, and Institutions (2011) Proceedings of the 12th Annual Digital Government Research Conference, , College Park, Maryland, June 12-15; Palumbo, F., Developing a new service for the digital traveler satisfaction: The Smart Tourist App (2015) The International Journal of Digital Accounting Research, 15, pp. 33-67; Poslad, S., Ma, A., Wang, Z., Mei, H., Using a smart city IoT to incentivise and target shifts in mobility behaviour-Is it a piece of pie? (2015) Sensors, 15, pp. 13069-13096; Wang, D., Li, X.R., Li, Y., China's "smart tourism destination" initiative: A taste of the service-dominant logic (2013) Journal of Destination Marketing & Management, 2 (2), pp. 59-61; Xiang, Z., Gretzel, U., Fesenmaier, D., Semantic representation of tourism on the Internet (2009) Journal of Travel Research, pp. 440-453; Zhang, L.Y., Li, N., Liu, M., On the Basic Concept of Smart Tourism and Its Theoretical System (2012) Tourism Tribune, 5, p. 015