DocumentCode :
2288417
Title :
Analysis of the number of hops in wired-wireless heterogeneous networks
Author :
Chen, Hsin-Yeh ; Lee, Chia-han
Author_Institution :
Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
fYear :
2012
fDate :
1-4 April 2012
Firstpage :
1806
Lastpage :
1810
Abstract :
As more and more wireless communication scenarios, such as Internet of Things and 4G wireless networks, rely on the deployment of wireline networks, the analysis of the heterogeneous wired-wireless networks becomes critical. In this paper, the probability mass function (PMF) of the number of hops in heterogeneous wired and wireless networks is analyzed. The nodes are assumed to be spatially distributed following Poisson point process (PPP). The wireless links are formed by considering the spatial distances, and the wired links are randomly deployed. To derive the PMF of the number of hops, we first approximate the number of hops between any two nodes in the wireless-link-only network as a function of the Euclidean distance. Then one wired link is added and the PMF of the number of hops is derived. Finally, the analysis is generalized to the heterogeneous network with multiple wired links. Simulation results confirm the accuracy of our proposed approach.
Keywords :
Poisson distribution; approximation theory; radio links; random processes; sensor placement; Euclidean distance; PMF; Poisson point process; approximation theory; number of hops; probability mass function; random deployement; spatial distribution; wired heterogeneous network; wired link; wireless communication; wireless heterogeneous network; wireless link; Ad hoc networks; Analytical models; Euclidean distance; Simulation; Wireless networks; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location :
Shanghai
ISSN :
1525-3511
Print_ISBN :
978-1-4673-0436-8
Type :
conf
DOI :
10.1109/WCNC.2012.6214078
Filename :
6214078
Link To Document :
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