Raef Abdallah
ABSTRACT
As our daily lives become busier and more complicated, owning a smart home is increasingly becoming a necessity rather than a luxury. Surveillance systems are heavily utilized by police departments to assist in solving crimes. People rely on surveillance systems to provide them with real-time events taking place inside and outside properties they own. The probability that a smart homeowner can act sooner than later when emergencies arise provides the homeowner a sense of security. In an emergency, time is of the essence and a smart home equipped with the right tools and devices can give a smart homeowner an edge over his/her non-smart home counterpart. Therefore, it is important that the process of converting a home to a smart one is not a complex one. The ease of installation, operation, and maintenance of smart home devices unarguably plays an important role in the wide spread use of smart homes around us. This paper mainly discusses early experiences related to the installation of a surveillance system, the challenges faced during installation, problems encountered after installation, and a glimpse into future work. It presents areas and issues in a smart home that require more investigation in the hope of intriguing researchers to further study smart homes and tackle existing issues.
- 2017. F-Secure. (July 2017). Retrieved 07-27-2017 from https://business.f-secure.com/Google Scholar
- 2017. Foscam C1 Lite HD Wireless Camera: Good hardware, poor control. (July 2017). Retrieved 07-27-2017 from http://www.zdnet.com/product/foscam-c1-lite-hd-wireless-camera/Google Scholar
- 2017. Smart Homes, Buildings (Energy Efficient, Automated) Market by Application (Energy management, Lighting control, HVAC, Safety and Security, Home healthcare and child safety) and Technology (Bluetooth, Zigbee, RFID, Wi-Fi) - Global Opportunity Analysis and Industry Forecast, 2013 - 2020. (Aug. 2017). Retrieved 08-07-2017 from https://www.alliedmarketresearch.com/smart-home-automated-building-marketGoogle Scholar
- 2017. ZDNet. (July 2017). Retrieved 07-27-2017 from http://www.zdnet.com/Google Scholar
- Jie Cao, Lanyu Xu, Raef Abdallah, and Weisong Shi. 2017. EdgeOS_H: A Home Operating System for Internet of Everything. In Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference on. IEEE, 1756--1764.Google ScholarCross Ref
- Prafulla Nath Dawadi, Diane Joyce Cook, and Maureen Schmitter-Edgecombe. 2016. Automated cognitive health assessment from smart home-based behavior data. IEEE journal of biomedical and health informatics 20, 4 (2016), 1188--1194. Google ScholarCross Ref
- Biyi Fang, Qiumin Xu, Taiwoo Park, and Mi Zhang. 2016. AirSense: an intelligent home-based sensing system for indoor air quality analytics. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 109--119. Google ScholarDigital Library
- Rhys Hill, Christopher Madden, Anton van den Hengel, Henry Detmold, and Anthony Dick. 2009. Measuring latency for video surveillance systems. In Digital Image Computing: Techniques and Applications, 2009. DICTA'09. IEEE, 89--95. Google ScholarDigital Library
- Peng Huang, Tianyin Xu, Xinxin Jin, and Yuanyuan Zhou. 2016. Defdroid: Towards a more defensive mobile os against disruptive app behavior. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services. ACM, 221--234. Google ScholarDigital Library
- Andreas Jacobsson, Martin Boldt, and Bengt Carlsson. 2016. A risk analysis of a smart home automation system. Future Generation Computer Systems 56 (2016), 719--733. Google ScholarDigital Library
- Nanyan Jiang, Cristina Schmidt, Vincent Matossian, and Manish Parashar. 2004. Enabling applications in sensor-based pervasive environments. In Proceedings of the 1st Workshop on Broadband Advanced Sensor Networks (BaseNets 2004). 48.Google Scholar
- Robert B Miller. 1968. Response time in man-computer conversational transactions. In Proceedings of the December 9--11, 1968, fall joint computer conference, part I. ACM, 267--277.Google ScholarDigital Library
- Pooshkar Rajiv, Rohit Raj, and Mahesh Chandra. 2016. Email based remote access and surveillance system for smart home infrastructure. Perspectives in Science 8 (2016), 459--461. Google ScholarCross Ref
- Nazir Saleheen, Supriyo Chakraborty, Nasir Ali, Md Mahbubur Rahman, Syed Monowar Hossain, Rummana Bari, Eugene Buder, Mani Srivastava, and Santosh Kumar. 2016. mSieve: differential behavioral privacy in time series of mobile sensor data. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 706--717. Google ScholarDigital Library
- Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. 2016. Edge computing: Vision and challenges. IEEE Internet of Things Journal 3, 5 (2016), 637--646. Google ScholarCross Ref
- Jatinder Singh, Thomas Pasquier, Jean Bacon, Hajoon Ko, and David Eyers. 2016. Twenty security considerations for cloud-supported Internet of Things. IEEE Internet of Things Journal 3, 3 (2016), 269--284. Google ScholarCross Ref
- Biljana L Risteska Stojkoska and Kire V Trivodaliev. 2017. A review of Internet of Things for smart home: Challenges and solutions. Journal of Cleaner Production 140 (2017), 1454--1464. Google ScholarCross Ref
- Frank Wang, Catherine Yun, Shafi Goldwasser, Vinod Vaikuntanathan, and Matei Zaharia. 2017. Splinter: Practical Private Queries on Public Data.. In NSDI. 299--313.Google Scholar
- Jong-bum Woo and Youn-kyung Lim. 2015. User experience in do-it-yourself-style smart homes. In Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing. ACM, 779--790.Google Scholar
Index Terms
- Lessons and experiences of a DIY smart home
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