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Energy Assessment Approach During Context Integration in New-Generation Ubiquitous Networks

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Proceedings of 6th International Conference on Recent Trends in Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 177))

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Abstract

Newer technological advancements in ubiquitous networking have boosted digital dependency of users, thereby facilitating human–computer interaction (HCI). Quality of Experience (QoE) is an important aspect to analyze network performance. However, achieving desired level of user satisfaction is quite challenging which has led to the proliferation of context-aware computing (CAC). The paper focused over various context-gathering mechanisms, system architecture and contemplated on how to improve the Quality of Content (QoC).

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References

  1. Zhang D, Huang H, Lai CF, Liang X, Zou Q, Guo M (2013) Survey on context-awareness in ubiquitous media. Multimed Tools Appl 67:179–211

    Google Scholar 

  2. Ahmed A, Boulahia L, Dominique Gaıti D (2014) Enabling vertical handover decisions in heterogeneous wireless networks: a state-of-the-art and a classification. In: IEEE communications and survey tutorials, vol 16, no 2, Second Quater 2014

    Google Scholar 

  3. Hong J, Suh E, Kim S (2009) Context-aware systems: a literature review and classification. Expert Syst Appl 36:8509–8522

    Google Scholar 

  4. Nazir Malik N, Mahmud U (2007) Future challenges in context—aware computing. In: IADIS international conference

    Google Scholar 

  5. Hegering HG, Kupper A (2003) Management Challenges of context-aware services in ubiquitous environments. In: 14th IFIP/IEEE international workshop on distributed systems: operations and management, DSOM 2003

    Google Scholar 

  6. Charith Perera C, Zaslavsky A, Christen P, Georgakopoulos D (2013) Context aware computing for the internet of things: a survey. In: IEEE communications and survey tutorials

    Google Scholar 

  7. Bellavista P, Corradi A, Fanelli M, Foschini L (2013) A survey of context data distribution for mobile ubiquitous systems. ACM Surveys

    Google Scholar 

  8. Balasubramaniam S, Indulska J (2003) Handovers between heterogeneous networks in pervasive systems. In: IEEE Proceedings of ICCT 2003, April 2003

    Google Scholar 

  9. Korpipaa P, Mantyjarvi J, Kela J, Keranen H, Malm EJ (2003) Managing context information in mobile devices. Pervasive Computing, IEEE CS and IEEE ComSoc, 2003

    Google Scholar 

  10. Mougy A, Mouftah H (2013) On resource management and context-awareness in LTE-based networks for public safety. In: 13th annual IEEE workshop on wireless local networks. IEEE

    Google Scholar 

  11. Alhazmi H, Akkari N (2011) An overview of context-aware vertical handover schemes in heterogeneous networks. Int J Comput Sci Eng Surv (IJCSES) 2(4)

    Google Scholar 

  12. Meng Y, Jiang C, Xu L, Ren Y (2015) User association in heterogeneous networks: a social interaction approach. IEEE Trans Vehic Technol

    Google Scholar 

  13. Xu L, Luan Y, Chao K, Cheng X, Zhang H, Schormans J (2014) Channel-aware optimised traffic shifting in LTE-advanced relay networks. In: IEEE 25th international symposium on personal, indoor and mobile radio communications

    Google Scholar 

  14. Quadros C, Cerqueira E, Neto A, Riker A, Immich R (2012) A mobile QoE architecture for heterogeneous multimedia wireless networks. In: The 4th IEEE international workshop on mobility management in the networks of the future world

    Google Scholar 

  15. Orlandi B, Bizouarn E, Taburet F, Scahill F, Lafragette J, Evenden R, Ringland S, Johnson S, Melia T, Twell T, Mghazli Y (2011) Improving the customer experience for heterogeneous wireless access. Alcatel-Lucent

    Google Scholar 

  16. Marquez-Barja JM, Ahmadi H, Tornell SM, Calafate CT, Cano JC, Manzoni P, DaSilva LA (2015) Breaking the vehicular wireless communications barriers: vertical handover techniques for heterogeneous networks. IEEE Trans Vehic Technol 64(12)

    Google Scholar 

  17. Ali Z, Baldo N, Bafalluy JM, Giupponi L (2016) Machine learning based handover management for improved QoE in LTE. In: IEEE/IFIP network operations and management symposium (NOMS 2016)

    Google Scholar 

  18. Adell MC, Gonzalez JP (2013) Smart indoor-outdoor positioning handover for smartphones. In: International conference on indoor positioning and indoor navigation, 28–31 Oct 2013. IEEE

    Google Scholar 

  19. Sarma A, Chakraborty S, Nandi S (2016) Deciding handover points based on context-aware load balancing in a WiFi-WiMAX heterogeneous network environment. IEEE Trans Vehic Technol 65(1)

    Google Scholar 

  20. Cherkaoui E, Agoulmine N (2014) Context-aware mobility management with WiFi/3G offloading for ehealth WBANs. In: IEEE 16th international conference on e-health networking, applications and services (Healthcom)

    Google Scholar 

  21. Lijuan L, Tingjie LV, Xia C (2013) Network selection based on context-awareness services. In: ICT industry convergence, China communications, December 2013

    Google Scholar 

  22. Sarma A, Chakraborty S, Nandi S (2014) Context aware handover management: sustaining QoS and QoE in a public IEEE802.11e Hotspot. IEEE Trans Netw Serv Manage 11(4)

    Google Scholar 

  23. She C, Yang C (2015) Context aware energy efficient optimization for video on-demand service over wireless networks. In: IEEE/CIC ICCC 2015 symposium on communication and control theory

    Google Scholar 

  24. Ylianttila M, Makela J, Pahlavan K (2005) Analysis of handoff in a location-aware vertical multi-access network. Comput Netw 47:185–201

    Google Scholar 

  25. Pawar P, Beijnum BJ, Sinderen M, Aggarwal A, Maret P, Clercq F (2008) Performance evaluation of the context-aware handover mechanism for the nomadic mobile services in remote patient monitoring. Comput Commun 31:3831–3842

    Google Scholar 

  26. TalebiFard P, Leung VCM (2011) A dynamic context-aware access network selection for handover in heterogeneous network environments. In: IEEE, The mobility management in the networks of the future world (MobiWorld) workshop

    Google Scholar 

  27. Miettinen M, Heuser S, Kronz W, Sadeghi A, Asokan N (2014) ConXsense—automated context classification for context-aware access control. In: ACM 2014

    Google Scholar 

  28. Lin Y, Huang-Fu C, Alrajeh N (2013) Predicting human movement based on telecom’s handoff in mobile networks. IEEE Trans Mobile Comput 12(6)

    Google Scholar 

  29. Niutanen J (2013) Improving usability and context awareness over fifth generation (5G) wireless networks. In: Proceedings of 5th conference of Fruct Association

    Google Scholar 

  30. Yu C, Liu Y, Yao D, Yang LT, Jin H, Chen H, Ding Q (2015) Modeling user activity patterns for next-place prediction. IEEE Syst J

    Google Scholar 

  31. Guidolin F, PappalardoI, Zanella A, Zorzi M (2016) Context-aware handover policies in HetNets. IEEE Trans Wirel Commun 15(3)

    Google Scholar 

  32. Al Emam FA, Nasr ME, Kishk SE (2019) Context-aware parallel handover optimization in heterogeneous wireless networks. Ann Telecommun

    Google Scholar 

  33. Naeem M, ELAttar HM, Dahab MA (2019) An optimized load balance solution for multi-homed host in heterogeneous wireless networks. Sens MDPI J

    Google Scholar 

  34. Pihkola H, Hongisto M, Apilo O, Lasanen M, Vatanen S (2018) Energy consumption of mobile data transfer—increasing or decreasing?—Evaluating the impact of technology development & user behavior. In: ICT4S2018. 5th international conference on information and communication technology for sustainability. EPiC Series in Computing, vol 52, pp 301–315

    Google Scholar 

  35. Tuysuz MF, Trestian R (2017) Energy-efficient vertical handover parameters, classification and solutions over wireless heterogeneous networks: a comprehensive survey. Wireless Pers Commun

    Google Scholar 

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Correspondence to Vinodini Gupta .

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Gupta, V., Bonde, P. (2021). Energy Assessment Approach During Context Integration in New-Generation Ubiquitous Networks. In: Mahapatra, R.P., Panigrahi, B.K., Kaushik, B.K., Roy, S. (eds) Proceedings of 6th International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 177. Springer, Singapore. https://doi.org/10.1007/978-981-33-4501-0_13

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