An energy-efficient wireless communication scheme using Quint Fibonacci number system
by Ansuman Bhattacharya; Pratham Majumder; Koushik Sinha; Bhabani P. Sinha; K.V.N. Kavitha
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 16, No. 2, 2016

Abstract: In this paper, an energy-efficient communication scheme for low-power wireless networks is proposed which is based on encoding the messages in a new number system, called the Quint Fibonacci number system (QFNS), followed by using a concept of Silent Communication. The proposed scheme employs a simple hybrid modulation/demodulation technique using non-coherent FSK and ASK, which leads to the design of a low-power, low-cost wireless communication system that will particularly be suitable for remote/rural healthcare applications. We show that with Additive White Gaussian Noise (AWGN) in channel, our scheme offers about 39.6% energy savings at the transmitter and about 52% energy savings at receiver on an average over the conventional Binary Frequency Shift Keying (BFSK) system, for equal likelihood of all possible strings of binary messages. However, simulation results with different types of messages from various healthcare and agricultural sensor data applications show that we get about 29.82% to 36.23% energy savings at the transmitter and about 56.42% to 64.29% energy savings at the receiver over conventional BFSK.

Online publication date: Fri, 05-Feb-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com