Title :
Energy-efficient communication: Understanding the distribution of runs in binary strings
Author :
Sinha, Koushik ; Sinha, Bhabani P.
Author_Institution :
Hewlett Packard Labs. India, Bangalore, India
Abstract :
With the increasing use of wireless sensor networks (WSNs) in diverse applications where data to be communicated can range from few bytes of raw data to multimedia, the need for designing energy-efficient communication has attained paramount importance to increase the operational lifetime of such WSNs. Related to this issue, it is essential to understand the distribution of runs of 1´s and 0´s in the data to be transmitted, so that suitable communication techniques can be designed. Such a knowledge would also help in analyzing and comparing the performances of different energy-efficient communication techniques for a specific WSN application. In this paper, we derive a recurrence relation for expressing Nk, the total number of occurrences of runs of 1´s of length k, 1 ≤ k ≤ n, in all possible binary strings of length n. Due to symmetry, Nk is also the total number of occurrences of runs of 0´s of length k, 1 ≤ k ≤ n. We show that Nn = 1, Nn-1 = 2 and Nn-k = (k + 3)2k-2, for k ≥ 2.
Keywords :
energy conservation; multimedia communication; wireless sensor networks; WSN application; binary strings; communication techniques; diverse applications; energy-efficient communication; recurrence relation; wireless sensor networks; Artificial neural networks; Information technology; Monitoring; Probability; Very large scale integration; Wireless networks; Wireless sensor networks; Bernoulli´s trial; Wireless sensor networks; combinatorial problems; energy-efficient communication; run distribution; run statistics;
Conference_Titel :
Recent Advances in Information Technology (RAIT), 2012 1st International Conference on
Conference_Location :
Dhanbad
Print_ISBN :
978-1-4577-0694-3
DOI :
10.1109/RAIT.2012.6194501