Abstract
Fog computing extends cloud-based computing concept to the edge of the network, thus enabling a breed of services and applications. Previous research topics on fog computing have significantly focused on the concepts and fundamentals of fog computing and its importance in the context of Internet of things (IoT) and Web of object (WoO). Recently, inspired by IoT and WoO, the era of connecting all the things and people is coming. Unfortunately, various devices and objects in IoT environments hardly show the method for automatic connection and the cooperation applied to IoT applications and services. Firstly, in this paper we propose WoO based on the architecture which contains various devices and objects for providing Web base IoT services and applications. Secondly, various service overlay network concepts for providing mashup by service federation and composition are introduced. Also, we describe service deployment architecture over smart home IoT architecture on fog computing environment. Thirdly, we propose a new architecture for selecting optimal objects or things attributed from the metadata, resource and profiles by our WoO-based smart building energy prediction methodology.









Similar content being viewed by others
References
Perera C, Liu C, Jayawardena S, Chen M (2014) A survey on internet of things from industrial market perspective. IEEE J Mag 2:1660–1679
Armbrust M, Fox A, Griffith R, Joseph A, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M (2010) A view of cloud computing. Mag Commun ACM 53(4):50–58
Mell P, Grance T (2011) The NIST definition of cloud computing. National Institute of Standards and Technology (NIST), Special Publication 800-145
Chen M, Qiu M, Liao L, Park J, Ma J (2011) Distributed multi-hop cooperative communication in dense wireless sensor networks. J Supercomput 56(3):353–369
Faruque M, Vatanparvar K (2016) Energy management-as-a-service over Fog Computing platform. IEEE Internet Things J 3(2):161–169
Park H, Lee C, Lee Y, Kim E-J (2016) Performance analysis for contention adaptation of M2M devices with directional antennas. J Supercomput 72(9):3387–3408
Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog Computing and Its Role in the Internet of Things. In: Proceedings of the first edition of the MCC workshop on mobile cloud computing, August 13–17. Helsinki, Finland, pp 13–16
Bonomi F, Milito R, Natarajan P, Zhu J (2014) Fog Computing: a platform for internet of things and analytics. Big Data Internet Things Roadmap Smart Environ 546:169–186
Sarkar S, Misra S (2016) Theoretical modelling of Fog Computing: a green computing paradigm to support IoT applications. IET Netw 5(2):23–29
Shang X, Zhang R, Zhu X, Zhou Q (2016) Design theory, modelling and the application for the internet of things service. Enterp Inf Syst 10(3):249–267
Yu J, Bang H, Lee H, Lee Y (2016) Adaptive internet of things and web of things convergence platform for internet of reality services. J Supercomput 72(1):84–102
Pang Z, Chen Q, Zheng L (2012) Value creation, sensor portfolio and information fusion of internet-of-things solutions for food supply Chains. Inf Syst Front. doi:10.1007/s10796-012-9374-9
ITU-T Y.2060 (2012) Overview of internet of things. ITU-T
Miorandi D, Sicari S, Pellegrini F, Chlamtac I (2012) Internet of things: vision, applications and research challenges. Ad Hoc Netw 10(7):1497–1516
Pang Z, Chen J, Sarmiento M, Zhang Z, Gao J, Chen Q, Zheng L (2009) Mobile and wide area deployable sensor system for networked services. In: Proceedings of IEEE Sensors Conference, Christchurch, New Zealand, pp 1396–1399. doi:10.1109/ICSENS.2009.5398428
Zorzi M, Gluhak A, Lange S, Bassi A (2010) From today’s INTRAnet of things to a future INTERnet of things: a wireless-and mobility-related view. IEEE Wirel Commun 17(6):44–51
Chen M, Wan J, Gonzalez S, Liao X, Leung C (2014) A survey of recent developments in home M2M networks. IEEE Commun Surv Tutor 16(1):98–114
Lee N, Lee H (2014) Device objectification for internet of things services. In: Proceedings of the 18th IEEE international symposium on consumer electronics, JeJu Island, Republic of Korea, pp 1–2. doi:10.1109/ISCE.2014.6884496
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805
Pang Z, Zheng L, Tian J, Kao-Walter S, Dubrova E, Chen Q (2013) Design of a terminal solution for integration of in-home health care devices and services towards the internet-of-things. Enterp Inf Syst 9(1):86–116
Nixon T, Regnier A (2009) OASIS devices profile for web services (DPWS) Version 1.1. OASIS Technical Committee, 1 July 2009
Cannata A, Gerosa M, Taisch M (2008) SOCRADES: a framework for developing intelligent systems in manufacturing. In: Proceedings of 2008 IEEE International Conference on Industrial Engineering and Engineering Management, December 8–11, Singapore, pp 1904–1908. doi:10.1109/IEEM.2008.4738203
Kim Y, Jeon Y, Chong L (2012) Service overlay network platform and service composition method for M2M service. In: Korea Computer Congress, June 27–29. Republic of Korea, JeJu Island, pp 230–232
Fatima I, Fahim M, Lee Y, Lee S (2013) Analysis and effects of smart home dataset characteristics for daily life activity recognition. J Supercomput 66(2):760–780
Ricquebourg V, Menga D, Durand D, Marhic B, Delahoche L, Loge C (2006) The smart home concept: our immediate future. In: Proceedings of IEEE International Conference on E-learning in Industrial Electronics, Hammamet, Tunisia, pp 23–28. doi:10.1109/ICELIE.2006.347206
Kim J, Park S (2015) U-health smart system architecture and ontology model. J Supercomput 71(6):2121–2137
Sheng W, Matsuoka Y, Ou Y, Liu M, Mastrogiovanni F (2015) Guest editorial special section on home automation. IEEE Trans Autom Sci Eng 12(4):1155–1156
Vaidya B, Makrakis D, Mouftah H (2013) Secure communication mechanism for ubiquitous Smart grid infrastructure. J Supercomput 64(2):435–455
Chen G, Huang J, Cheng B, Chen J (2015) A social network basedApproach for IoT device management and service composition. In: 2015 IEEE World Congress on Services, June 27-July 2. IEEE, New York, pp 1–8
Fredj S, Boussard M, Kofman D, Noirie L (2013) A scalable IoT service search based on clustering and aggregation. In: Proceedings of IEEE International Conference on and IEEE Cyber, Physical and Social Computing, August 20–23, Beijing, China, pp 403–410. doi:10.1109/GreenCom-iThings-CPSCom.2013.86
Yu J, Lee B, Park D (2014) Real-time cooling load forecasting using a hierarchical multi-class SVDD. Multimed Tools Appl 71(1):293–307
Xu Q, Aung K, Zhu Y, Yong K (2016) Building a large-scale object-based active storage platform for data analytics in the internet of things. J Supercomput 72(7):2796–2814
Perera C, Zaslavsky A, Liu C, Compton M, Christen P, Georgakopoulos D (2014) Sensor search techniques for sensing as a service architecture for the internet of things. IEEE Sens J 14(2):406–420
Song K, Baek Y, Hong D, Jang G (2005) Short-term load forecasting for the holidays using fuzzy linear regression method. IEEE Trans Power Syst 20(1):96–101
Efendigil T, Onut S, Kahraman C (2009) A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: a comparative analysis. Expert Syst Appl 36(2):6697–6707
Wagner A, Wright J, Ganesh A, Zhou Z, Mobahi H, Ma Y (2012) Toward a practical face recognition system: robust alignment and illumination by sparse representation. IEEE Trans Pattern Anal Mach Intell 34(2):372–386
Wright J, Yang A, Ganesh A, Sastry S, Ma Y (2008) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 31(2):210–227
Yang J, Wright J, Huang T, Ma Y (2010) Image super-resolution via sparse representation. IEEE Trans Image Process 19(11):2861–2873
Yu J, Lee H, Im Y, Kim M, Park D (2010) Real-time classification of internet application traffic using a hierarchical multi-class SVM. KSII Trans Internet Inf Syst 4(5):859–876
Han J, Kamber M, Pei J (2011) Data mining: concept and techniques, 3rd edn. Morgan Kaufmann Publishers, MA, USA
Oh I, Lee J, Moon B (2004) Hybrid genetic algorithms for feature selection. IEEE Trans Pattern Anal Mach Intell 26(11):1424–1437
Acknowledgements
This work was supported by the National Research Council of Science & Technology (NST) Grant by the Korea government (MSIP) (No. CRC-15-05-ETRI).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yu, J., Lee, N., Pyo, CS. et al. WISE: web of object architecture on IoT environment for smart home and building energy management. J Supercomput 74, 4403–4418 (2018). https://doi.org/10.1007/s11227-016-1921-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11227-016-1921-6