Communicating man and machine is always beneficial when their linkage is for information exchange. Information Communication Technologies (ICT) thus seek for such technologies and communication schemes where it can eliminate the use of frequent, time to time re-programming as well as charging/ topping up the battery resource. For the same purpose, researchers are always into the development of such Wireless networking based schemes where the battery constrains are minimized. Internet of things (IoT) is one of these emerging technologies. This research focuses on the implementation of IoT based techniques to minimize the battery re-charge time by studying the behavior of motes (Nodes in IoT) with respect to its information exchange, network throughput and power management. The research uses capacitor driven motes that can accept data wirelessly and transmit it directly after its reception or can restart the mote while the data is being preserved in its Read only flash. There different scenarios have been sequentially analyzed for incremental number of nodes from 2 to 15, whereas the capacitance is calculated for nominal data transfer. The results conclude that once the deployment of the network goes from scares to densely populated network, the charge due to the modeâ™s capacitance exponentially optimizes. The research concludes that lower number of nodes must be greater in order to use higher capacitance values whereas lower network density must follow the strategy of broadcasting its data without writing it on Read only flash memory.
- Hussain Ahmad: Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan 25000, Email: email@example.com.
- Jawad Ali: Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan 25000, Email: firstname.lastname@example.org.
- Syed Waqar Shah: Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan 25000, Email: email@example.com
- Durre Nayab: Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan 25000, Email: firstname.lastname@example.org.
Hussain Ahmad Jawad Ali Syed Waqar Shah Durre Nayab
- I. inâ™t Veen, "BLISP: Enhancing backscatter radio with active radio for computational RFIDs," Master’s thesis, TU Delft, 2015.
- Y. Yang, L. Wang, D. K. Noh, H. K. Le, and T. F. Abdelzaher, "Enhancing data reliability in solar-powered storage-centric sensor networks". In Proc. 7th Annual Int’l Conference on Mobile Systems, Applications, and Services (MobiSys-09), pages 333-346, ACM, 2009.
- P. D. Mitcheson et al., âœEnergy Harvesting From Human and Machine Motion for Wireless Electronic Devices,â Proc. IEEE, vol. 96, no. 9, pp.1457-1486, Sept. 2008.
- M. R. Mhetre et al., âœMicro energy harvesting for biomedical applications: A review,â Proc. ICECT 2011, vol. 3, pp. 1-5, 8-10 April 2011.
- B. Ransford et al., âœMementos: System Support for Long-Running Computation on RFID-Scale Devices,â ASPLOS11, Newport Beach, CA, USA, Mar. 5-11, 2011.
- P. A. Bernstein et al., âœConcurrency Control and Recovery in Database Systems,â Addison-Wesley Longman Publishing, Boston, USA 1987.
- Rose Yu, Thomas Whetteyne âœReliable, Low Power Wireless sensor networks for Internet of Things: Making Wireless Sensor as Accessible as Web Serverâ.
- C. E. Perkins, âœAd Hoc Networking,â Addison-Wesley, 2001.
- V. Rajendran, K. Obraczka, and J. J. Garacia-Luna-Aceves, âœEnergy- Efficient Collision-Free Medium Access Control for Wireless Sensor Networks,â Proceedings of the 1st ACM International Conference on Embedded Networked Sensor Systems, 2003, pp. 181â“192.
- L. F. W. Hoesel and P. J. M. Havinga, âœA Lightweight Medium Access Protocol for Wireless Sensor Networks,â Proceedings of the 1st International Conference on Networked Sensing Systems, 2004, pp. 205â“208.
- T. Hatauchi, Y.Fukuyama, M. Ishii, and T. Shikura, âœA Power Efficient Access Method by Polling for Wireless Mesh Network,â Transactions of IEEJ, Vol. C-128, No. 12, 2008, pp. 1761â“1766.
- R. Jurdak, P. Baldi, and C. V. Lopes, âœAdaptive Low Power Listening for Wireless Sensor Networks,â IEEE Transaction on Mobile Computing, Vol. 6, No. 8, 2007, pp. 988â“1004.
- Anuj Sehgal, âœUsing the Contiki Cooja Simulatorâ.
- Texas Instrument Inc CC2420 Datasheet. Available on: http://www.ti.com/