Skip to main content
Log in

A new framework to locate, connect and share mobile web services through intelligence techniques

  • Special Issue
  • Published:
Evolutionary Intelligence Aims and scope Submit manuscript

Abstract

The advancement in mobile technology is taking place at very high speed, especially in the case of smart devices. In recent years, the use of mobile phones has changed the life style of common people. As days pass, new and better technologies are emerging in this field which make the life of people easier and also help people to connect with one another in a better way than before. Initially, the usage of mobile phones was restricted only to make phone calls and send messages. The current use of mobile phones has evolved into a new revolution. The current smart phones provide almost all features that a laptop or desktop provides. It is also seen that social network has influenced a lot of message and call transfers among the known group of users. There are thousands of mobile applications available and most of these applications communicate to a well-known server or cloud service provider through the Internet and gives back an appropriate response to the mobile user. It is really challenging to find an interesting service provided by an unknown mobile user to another mobile user who is interested in receiving that service. In the present scenario, people find it difficult to pursue their interests or connect to other people of similar interests. Most of the times, mobile users are unaware of the activities that are happening around them. The main idea behind this work is to provide a framework to notify a mobile user about his interests currently available near him/her or in different locations. It connects people of similar interests in the location where they are currently in. This framework uses the existing SOAP and HTTP technologies along with redefined WSDL for describing web services on the mobile device. The data to be shared by the mobile web service provider may be generated by the sensors within the mobile device or the data is explicitly updated by the user dynamically or the data is collected from the external sensors/devices connected to internet of things through the mobile device. The cloud service is used to enable the service request mapping and repository. This framework may be used to define any web service on mobile devices and make them available to users based on interest, location and time. The main objective of the proposed work is to identify various dynamic location based mobile web services and to provide them a framework to share their services with the interested mobile service consumers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/. Accessed Oct 2018

  2. https://thehub.smsglobal.com/smartphone-ownership-usage-and-penetration. Accessed Oct 2018

  3. Elgazzar K, Martin P, Hassanein H (2014) Mobile web services: state of the art and challenges. Int J Adv Comput Sci Appl 5(3):173–188

    Google Scholar 

  4. Wu Z, Itälä T, Tang T, Zhang C, Ji Y, Hämäläinen M, Liu Y (2012) A web-based two-layered integration framework for smart devices. EURASIP J Wirel Commun Netw 2012(1):150

    Article  Google Scholar 

  5. Verma R, Srivastava A (2014) A novel web service directory framework for mobile environments. In: 2014 IEEE international conference on web services. IEEE, pp 614–621

  6. Jansen M, Hördt O, Milatovic J (2013) About the development of scenarios for mobile web service provisioning. In: 2013 world congress on computer and information technology (WCCIT). IEEE, pp 1–6

  7. Wagh KS, Thool RC (2013) Web service provisioning on android mobile host. Int J Comput Appl 81(14):5–11

    Google Scholar 

  8. Wagh KS, Thool RC (2014) Performance analysis of mobile web service provisioning on different mobile host. In: 2014 annual IEEE India conference (INDICON). IEEE, pp 1–5

  9. Jansen M (2013) Evaluation of an architecture for providing mobile web services. Int J Adv Internet Technol 6(1 & 2):2013

    Google Scholar 

  10. Wagh K, Thool R (2014) Mobile web service provisioning and performance evaluation of mobile host. Int J Web Serv Comput 5(2):1

    Article  Google Scholar 

  11. Mohamed K, Wijesekera D (2012) A lightweight framework for web services implementations on mobile devices. In: 2012 IEEE 1st international conference on mobile services. IEEE, pp 64–71

  12. Wagh KS, Thool RC (2014) Hybrid framework for effective mobile web service provisioning. In: Proceedings of international conference on advances in communication, network, and computing, CNC

  13. van der Westhuizen C, Coetzee M (2013) A framework for provisioning restful services on mobile devices. In: 2013 international conference on adaptive science and technology. IEEE, pp 1–7

  14. Sen Z, Man KL, Liang H-N, Zhang N, Fleming C, Afolabi DO, Wu Y, Poon S-H (2013) A light mobile web service framework based on axis2. In: Jung HK, Kim J, Sahama T, Yang CH (eds) Future information communication technology and applications. Lecture notes in electrical engineering, vol 235. Springer, Dordrecht

    Google Scholar 

  15. Mohamed K, Wijesekera D (2012) Performance analysis of web services on mobile devices. Procedia Comput Sci 10:744–751

    Article  Google Scholar 

  16. Hung WH, ChanLin LJ (2015) Development of mobile web for the library. Procedia Soc Behav Sci 197:259–264

    Article  Google Scholar 

  17. Bertram J, Kleiner C (2012) Secure web service clients on mobile devices. Procedia Comput Sci 10:696–704

    Article  Google Scholar 

  18. Choi KH, Kim KJ (2017) A study on acceptance procedure improvement of web application by outsourcing for mobile service. Wirel Pers Commun 94(1):5–16

    Article  Google Scholar 

  19. Ovčjak B, Heričko M, Polančič G (2015) Factors impacting the acceptance of mobile data services—a systematic literature review. Comput Hum Behav 53:24–47

    Article  Google Scholar 

  20. Elgazzar K, Hassanein HS, Martin P (2014) Daas: cloud-based mobile web service discovery. Pervasive Mob Comput 13:67–84

    Article  Google Scholar 

  21. Ma SP, Lee WT, Chen PC, Li CC (2016) Framework for enhancing mobile availability of RESTful services. Mob Netw Appl 21(2):337–351

    Article  Google Scholar 

  22. Elgazzar K, Aboelfotoh M, Martin P, Hassanein HS (2012) Ubiquitous health monitoring using mobile web services. Procedia Comput Sci 10:332–339

    Article  Google Scholar 

  23. Cheniki N, Belkhir A, Atif Y (2016) Mobile services discovery framework using DBpedia and non-monotonic rules. Comput Electr Eng 52:49–64

    Article  Google Scholar 

  24. Soliman M, Abiodun T, Hamouda T, Zhou J, Lung CH (2013) Smart home: integrating internet of things with web services and cloud computing. In: 2013 IEEE 5th international conference on cloud computing technology and science, vol 2. IEEE, pp 317–320

  25. Perera C, Zaslavsky A, Christen P, Georgakopoulos D (2014) Sensing as a service model for smart cities supported by internet of things. Trans Emerg Telecommun Technol 25(1):81–93

    Article  Google Scholar 

  26. Fernandes R, D’Souza GR (2019) Lightweight context-based web-service composition model for mobile devices. In: Digital business. Springer, Cham, pp 199–222

  27. Fernandes R, Rio D’Souza GL (2017) A new approach to predict user mobility using semantic analysis and machine learning. J Med Syst 41(12):188

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roshan Fernandes.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fernandes, R., Rio D’Souza, G.L. & Rodrigues, A.P. A new framework to locate, connect and share mobile web services through intelligence techniques. Evol. Intel. 14, 433–444 (2021). https://doi.org/10.1007/s12065-019-00249-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12065-019-00249-y

Keywords

Navigation