WSN- and IOT-based smart homes and their extension to smart buildings

Sensors (Switzerland)

Volumn 15, Issue 5, 2015, Pages 10350-10379

  Ghayvat, Hemant ^a   Mukhopadhyay, Subhas ^a   Gui, Xiang ^a   Suryadevara, Nagender ^a  

^a MASSEY UNIVERSITY   (New Zealand)

Author keywords

Attenuation loss; Behavioral detection; Interference; IOTs; SNR (signal to noise ratio); Wellness function

Indexed keywords

AUTOMATION; INTELLIGENT BUILDINGS; INTERFERENCE SUPPRESSION; REAL TIME SYSTEMS; SENSOR NETWORKS; WAVE INTERFERENCE; WIRELESS SENSOR NETWORKS;

ATTENUATION LOSS; BUILDING ENVIRONMENT; HETEROGENEOUS SENSORS; IOTS; OPTIMUM SYSTEM PERFORMANCE; PERFORMANCE AND RELIABILITIES; SNR (SIGNAL TO NOISE RATIO); WIRELESS NETWORKING TECHNOLOGY;

SIGNAL TO NOISE RATIO;

ALGORITHM; HOUSING; HUMAN; PHYSIOLOGIC MONITORING; TELEMETRY; WIRELESS COMMUNICATION;

ALGORITHMS; HOUSING; HUMANS; MONITORING, PHYSIOLOGIC; TELEMETRY; WIRELESS TECHNOLOGY;

EID: 84929352848     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150510350     Document Type: Article

References (46)

1. Younis, M.; Senturk, I.F.; Akkaya, K.; Lee, S.; Senel, F. Topology management techniques for tolerating node failures in wireless sensor networks: A survey. Comput. Netw. 2014, 58, 254–283.
2. Challoo, R.; Oladeinde, A.; Yilmazer, N.; Ozcelik, S.; Challoo, L. An Overview and Assessment of Wireless Technologies and Co-existence of ZigBee, Bluetooth and Wi-Fi Devices. Proced. Comput. Sci. 2012, 12, 386–391.
3. Hwang, K.-I.; Choi, B.-J.; Kang, S.-H. Enhanced self-configuration scheme for a robust ZigBee-based home automation. IEEE Trans. Consum. Electron. 2010, 56, 583–590.
4. Byun, J.; Jeon, B.; Noh, J.; Kim, Y.; Park, S. An intelligent self-adjusting sensor for smart home services based on ZigBee Communications. IEEE Trans. Consum. Electron. 2012, 58, 794–802.
5. IEEE 802.15™: Wireless Personal Area Networks (PANs). Available online: http://standards.ieee.org/about/get/802/802.15.html (accessed on 1 January 2015).
6. The Internet of Things. http://share.cisco.com/internet-of-things.html (accessed on 7 January 2015).
7. IEEE Talks IOT. Available online: http://iot.ieee.org/articles-publications/ieee-talks-iot/88-ieeetalks- iot-oleg-logvinov.html (accessed on 7 January 2015).
8. Bell, C.; Fausset, C.; Farmer, S.; Nguyen, J.; Harley, L.; Fain, W.B. Examining social media use among older adults. In Proceedings of the 24th ACM Conference on Hypertext and Social Media, Paris, France, 1–3 May 2013; pp. 158–163.
9. Dawadi, P.N.; Cook, D.J.; Schmitter-Edgecombe, M.; Parsey, C. Automated assessment of cognitive health using smart home technologies. J. Tech. Health Care 2013, 21, 323–343.
10. Rantz, M.; Alexander, G.; Galambos, C.; Vogelsmeier, A.; Popejoy, L.; Flesner, M.; Lueckenotte, A.; Crecelius, C.; Zwygart-Stauffacher, M. Initiative to test a multidisciplinary model with advanced practice nurses to reduce avoidable hospitalizations among nursing facility residents. J. Nurs. Care Qual. 2013, 29, 1–8.
11. Place Lab MIT. Available online: http://web.media.mit.edu/~kll/A_PlaceLab_Sept1-2004.pdf (accessed on 10 January 2015).
12. Heinz, M.; Martin, P.; Margrett, J.A.; Yearns, M.; Franke, W.; Yang, H.-I.; Wong, J.; Chang, C.K. Perceptions of technology among older adults. J. Gerontol. Nurs. 2013, 39, 42–51.
13. Yang, H.-I.; Babbitt, R.; Wong, J.; Chang, C.K. A framework for service morphing and heterogeneous service discovery in smart environments. In Impact Analysis of Solutions for Chronic Disease Prevention and Management; Springer: Berlin/Heidelberg, Germany, 2012; pp. 9–17.
14. Chen, S.-Y.; Chang, S.-F. A review of Smart Living space development in a cloud computing network environment. Comput. Aided Design Appl. 2009, 6, 513–527.
15. Marculescu, D.; Marculescu, R.; Zamora, N.H.; Stanley-Marbell, P.; Khosla, P.K.; Park, S.; Jayaraman, S.; Jung, S.; Lauterbach, C.; Weber, W. Electronic textiles: A platform for pervasive computing. IEEE Proc. 2003, 91, 1995–2018. Available online: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1246382&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_al l.jsp%3Farnumber%3D1246382 (accessed on 29 April 2015).
16. Introducing the BodyMedia SenseWear System. Available online: http://www.sensewear.com/solutions_bms.php (accessed on 10 January 2015).
17. Grossman, P. The LifeShirt: A multi-function ambulatory system monitoring health, disease, and medical intervention in the real world. Stud Health Tech. Inf. 2004, 108, 133–141.
18. Voirin, G. Working Garment Integrating Sensor Applications Developed within the PROeTEX Project for Firefighters Ubiquitous Computing in the Workplace. Adv. Intell. Syst. Comput. 2015, 333, 25–33.
19. Han, G.; Jiang, J.; Shu, L.; Niu, J.; Chao, H.-C. Management and applications of trust in Wireless Sensor Networks: A survey. J. Comput. Syst. Sci. 2014, 80, 602–617.
20. Ramesh, M.V.; Shanmughan, A.; Prabha, R. Context aware ad hoc network for mitigation of crowd disasters. Ad Hoc Netw. 2014, 18, 55–70.
21. Felisberto, F.; Fdez-Riverola, F.; Pereira, A. A Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based on Sensor Fusion. Sensors 2014, 14, 8961–8983.
22. Tunca, C.; Alemdar, H.; Ertan, H.; Incel, O.D.; Ersoy, C. Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents. Sensors 2014, 14, 9692–9719.
23. Magaña-Espinoza, P.; Aquino-Santos, R.; Cárdenas-Benítez, N.; Aguilar-Velasco, J.; Buenrostro-Segura, C.; Edwards-Block, A.; Medina-Cass, A. WiSPH: A Wireless Sensor Network-Based Home Care Monitoring System. Sensors 2014, 14, 7096–7119.
24. Delahoz, Y.S.; Labrador, M.A. Survey on fall detection and fall prevention using wearable and external sensors. Sensors 2014, 14, 19806–19842.
25. Gusmeroli, S.; Piccione, S.; Rotondi, D. A capability-based security approach to manage access control in the Internet of Things. Math. Comput. Model. 2013, 58, 1189–1205.
26. Zhong, N.; Ma, J.H.; Huang, R.H.; Liu, J.M.; Yao, Y.Y.; Zhang, Y.X.; Chen, J.H. Research challenges and perspectives on Wisdom Web of Things. J. Supercomput. 2013, 64, 862–882.
27. Chen, Z.; Xia, F.; Huang, T.; Bu, F.; Wang, H. A localization method for the Internet of Things. J. Supercomput. 2013, 63, 657–674.
28. Sanchez, L.; Muñoz, L.; Galache, J.A.; Sotres, P., Santana, J.R.; Gutierrez, V.; Ramdhany, R.; Gluhak, A.; Krco, S.; Theodoridis, E. SmartSantander: IoT experimentation over a smart city testbed. Comput. Netw. 2014, 61, 217–238.
29. Grieco, L.; Rizzo, A.; Colucci, S.; Sicari, S.; Piro, G.; di Paola, D.; Boggia, G. IoT-aided robotics applications: Technological implications, target domains and open issues. Comput. Commun. 2014, 54, 32–47.
30. Fabian, B.; Feldhaus, T. Privacy-preserving data infrastructure for smart home appliances based on the Octopus DHT. Comput. Ind. 2014, 65, 1147–1160.
31. Bravo, J.; Fuentes, L.; de Ipina, D.L. Theme issue: “Ubiquitous computing and ambient intelligence”. Pers. Ubiquitous Comput. 2011, 15, 315–316.
32. Kim, W.H.; Lee, S.; Hwang, J. Real-time energy monitoring and controlling system based on Zigbee sensor networks. Proced. Comput. Sci. 2011, 5, 794–797.
33. Desai, A.S.; Konstam, M.A. Home Monitoring Heart Failure Care Does Not Improve Patient Outcomes Looking beyond Telephone-Based Disease Management. Circulation 2012, 125, 828–836.
34. Zhang, Y.; Huang, G.Q.; Qu, T.; Ho, O.; Sun, S. Agent-based smart objects management system for real-time ubiquitous manufacturing. Robot. Comput. Integr. Manuf. 2011, 27, 538–549.
35. Härmark, L.; van Grootheest, K. Web-based intensive monitoring: From passive to active drug surveillance. Expert Opin. Drug Saf. 2012, 11, 45–51.
36. RF Basics. http://community.arubanetworks.com/aruba/attachments/aruba/tkb@tkb/121/1/RFBasics_ Part1.pdf (accessed on 15 January 2015).
37. Suryadevara, N.K.; Mukhopadhyay, S.C.; Kelly, S.D.T.; Gill, S.P.S. WSN-Based Smart Sensors and Actuator for Power Management in Intelligent Buildings. IEEE Trans. Mechatron. 2014, doi:10.1109/TMECH.
38. Suryadevara, N.; Gaddam, A.; Rayudu, R.; Mukhopadhyay, S. Wireless sensors network based safe home to care elderly people: Behaviour detection. Sens. Actuators A Phys. 2012, 186, 277–283.
39. Suryadevara, N.K.; Mukhopadhyay, S.C. Sensor Activity Pattern (SAP) Matching Process and Outlier Detection. In Smart Homes; Springer: Berlin, Germany, 2015.
40. Suryadevara, N.K.; Mukhopadhyay, S.C. Wireless sensor network based home monitoring system for wellness determination of elderly. IEEE Sens. J. 2012, 12, 1965–1972.
41. Kelly, S.D.T.; Suryadevara, N.; Mukhopadhyay, S.C. Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sens. J. 2013, 13, 3846–3853.
42. Suryadevara, N.; Mukhopadhyay, S.C.; Wang, R.; Rayudu, R. Forecasting the behavior of an elderly using wireless sensors data in a smart home. Eng. Appl. Artif. Intell. 2013, 26, 2641–2652.
43. Dual Band Versatility. Available online: http://files.metageek.net/marketing/Wi-Spy_DBx/Wispy_ DBx_medium.pdf (accessed on 17 January 2015).
44. Powerful RF Analyzer for Wi-Fi. Available online: http://www.streakwave.com/metageek/Chan_Pro_medium.pdf (accessed on 17 January 2015).
45. The Basics of Signal Attenuation. Available online: http://www.dataloggerinc.com/content/resources/white_papers/332/the_basics_of_signal_attenutaion (accessed on 17 January 2015).
46. XCTU. Available online: http://ftp1.digi.com/support/documentation/90001003_A.pdf (accessed on 18 January 2015).