Published In : IJCSN Journal Volume 8, Issue 1

Date of Publication : February 2019

Pages : 28-35

Figures :11

Tables : 01

 

Ogbonoko, J. F. : holds a Bachelor of Science (BSc.) degree in Computer Science from the Benue State University, Makurdi, Nigeria. He also holds a Master of Science (MSc.) degree in Software Systems and Internet Technology from the University of Sheffield, United Kingdom. He currently lectures in the Department of Computer Science, Federal University Lafia, Nasarawa State, Nigeria. His research interests are in the area of Software Engineering, Internet of Things, and Big Data.

Abdulkadir Dauda : was born in Lafia, Nasarawa State of Nigeria on the 25th of October 1982. He obtained the Bachelor of Science degree in Computer Science from the Usmanu Danfodiyo University Sokoto, Nigeria in 2006. He worked with the Nigerian Judiciary as a Programme Analyst from February 2009 to April 2014 when he joined the Federal University Lafia as a Graduate Assistant. In 2015, he proceeded to the University of Bedfordshire, United Kingdom for his Masters of Science Degree which he completed in January 2017. He currently works as an Assistant Lecturer in the department of Computer Science, Federal University Lafia, Nigeria. His research interests are in the area of High-Performance Computing and Distributed Systems.

Adoga, H. U. : holds a Bachelor of Engineering (B.Eng.) in Electrical & Electronics Engineering from the University of Maiduguri, Nigeria, with specialization in data communications and networks. He also holds a Master of Science (MSc.) degree in Computer Science, from the University of Hertfordshire, England. He is currently a lecturer with the Department of Computer Science, Federal University Lafia, Nigeria. His research interests are in the areas of Software Defined Networking (SDN), IOT and Distributed Systems. He is a registered member of the Institute of Electrical and Electronics Engineers (IEEE), the Nigeria Computer Society (NCS), and the Nigeria Society of Engineers (NSE). As a CCNP professional, Haruna is also fascinated by design and configuration of computer networks.

 

Internet of Things, Home sensing, Raspberry Pi, Python, Sensor Networks, Computer Networks

There is still much to be desired as far as home sensing for surveillance and monitoring is concerned. In the work carried out, the authors have successfully deployed Raspberry Pi and Python programming language to build a low-cost home sensing system. However, it is important to note that the system is scalable to accommodate a database that holds the distances measured, links to the images captured in the image folder, links to the email notification, and a web interface for controlling the system. It is possible to also extend functionality to a web interface that provides users with an option to take appropriate action, for example, to alert the nearest police station for arrest of burglars or intruders. Another consideration would be to have a module that scans images captured to be matched with images in a crime database for identification of burglars and intruders.

 

[1] Challal, Y., Natalizio, E., Sen, S. and Vegni, A.M. (2015) 'Internet of Things Security and Privacy: Design Methods and Optimization', Ad Hoc Networks, 32, pp. 1-2. doi: 10.1016/j.adhoc.2015.05.010. [2] Miorandi, D., Sicari, S., De Pellegrini, F. and Chlamtac, I. (2012) Internet of Things: Vision, Applications and Research Challenges, Ad Hoc Networks, 10(7), pp. 1497-1516. doi: 10.1016/j.adhoc.2012.02.016. [3] Mashal, I., Alsaryrah, O., Chung, T.-Y., Yang, C.-Z., Kuo, W.-H. and Agrawal, D.P. (2015) 'Choices for Interaction with Things On Internet and Underlying Issues', Ad Hoc Networks, 28, pp. 68-90. doi: 10.1016/j.adhoc.2014.12.006. [4] Bandyopadhyay, D. and Sen, J. (2011) 'Internet of Things: Applications and Challenges in Technology and Standardization', Wireless Personal Communications, 58(1), pp. 49-69. doi: 10.1007/s11277-011-0288-5. [5] Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M. (2013) 'Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions', Future Generation Computer Systems, 29(7), pp. 1645-1660. doi: 10.1016/j.future.2013.01.010. [6] Whitmore, A., Agarwal, A. and Da Xu, L. (2014) 'The Internet of Things-A Survey of Topics and Trends', Information Systems Frontiers, 17(2), pp. 261- 274. doi: 10.1007/s10796-014-9489-2. [7] PalSharma, D., Baldeo, A. and Phillip, C. (2015) 'Raspberry Pi Based Smart Home for Deployment in The Smart Grid', International Journal of Computer Applications, 119(4), pp. 6-10. doi: 10.5120/21053- 3700. [8] Addimulam, S. C. (2015) Smart Home Control Using Raspberry Pi in Internet of Things Environment. Available at: http://pqdtopen.proquest.com/doc/1738629611.html?FM T=ABS (Accessed: 20 June 2018) [9] Fan, X., Huang, H., Qi, S., Luo, X., Zeng, J., Xie, Q. and Xie, C. (2015) 'Sensing Home: A Cost-Effective Design for Smart Home via Heterogeneous Wireless Networks', Sensors, 15(12), pp. 30270-30292. doi: 10.3390/s151229797. [10] Mafrur, R., Khusumanegara, P., Bang, G.H., Lee, D.K., Nugraha, I.G.D. and Choi, D. (2015) 'Developing and Evaluating Mobile Sensing for Smart Home Control', International Journal of Smart Home, 9(3), pp. 215-230. doi: 10.14257/ijsh.2015.9.3.20. [11] Vujovic, V. and Maksimovic, M. (2015) 'Raspberry Pi as a Sensor Web Node for Home Automation', Computers & Electrical Engineering, 44, pp. 153-171. doi: 10.1016/j.compeleceng.2015.01.019. [12] Celebre, A.M.D., Dubouzet, A.Z.D., Medina, I.B.A., Surposa, A.N.M. and Gustilo, R.C. (2015) 'Home Automation Using Raspberry Pi Through Siri Enabled Mobile Devices', 2015 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). doi: 10.1109/hnicem.2015.7393270. [13] Cox, T. (2014) 'Raspberry Pi Cookbook for Python Programmers' Birmingham: Packt Publishing. [14] Wang, F., Hu, L., Zhou, J., Wu, Y., Hu, J. and Zhao, K. (2015) 'Software Toolkits: Practical Aspects of the Internet of Things-A survey', International Journal of Distributed Sensor Networks, 2015, pp. 1-9. doi: 10.1155/2015/534378. [15] Srivastava, A. (2016) 'Raspberry pi 3 is out now! Specs, benchmarks & more' - the MagPi magazine. Available at: https://www.raspberrypi.org/magpi/raspberry-pi-3- specs-benchmarks/ (Accessed: 17 June 2018). [16] Model B Hardware General Specifications. Available at: http://www.raspberry-projects.com/pi/pihardware/ raspberry-pi-model-b/hardware-generalspecifications (Accessed: 17 June 2018). [17] Kartha, V., George, L., Shenoy, M. and George, E. (2015) 'Interfacing HC-SR04 Ultrasonic Sensor with Raspberry Pi'. Available at: https://electrosome.com/hcsr04- ultrasonic-sensor-raspberry-pi (Accessed: 17 June 2018). [18] Ultrasonic Ranging Module HC - SR04. Available at: http://www.micropik.com/PDF/HCSR04.pdf (Accessed: 29 June, 2018) [19] Raspberry Pi Camera Board (5MP, 1080p, v1.3) (2015) Available at: https://www.modmypi.com/raspberrypi/ camera/raspberry-pi-camera-board-5mp-1080p-v1.3 (Accessed: 29 June, 2018). [20] Hawkins, M. (2012) Ultrasonic Distance Measurement Using Python - Part 1. Available at: http://www.raspberrypi-spy.co.uk/2012/12/ultrasonicdistance- measurement-using-python-part-1/ (Accessed: 29 June, 2018). [21] Ogbonoko, J. F. (2016). Creating a Laboratory and Computing Resources for Teaching Internet of Things: A Case of the Raspberry Pi Home. (M.Sc. Thesis, Department of Computer Science, University of Sheffield, United Kingdom), pp. 7, 10, 21-28, 38-39, 42- 46.