Title :
Feasible Link Statistics for Adaptive Ad Hoc Networks
Author :
Doyle, Senan J. ; Forde, Timothy K. ; Doyle, Linda E.
Author_Institution :
Dept. of Electron. & Electr. Eng., Dublin Univ., Dublin
Abstract :
The dynamic nature of ad hoc networks advocates the use of adaptive schemes to optimize network performance. Such adaptive schemes require local observations of prevailing network conditions. This paper discusses the dependencies between locally observable metrics. The probability density functions for link statistic metrics are assessed, and the implications of the distribution model for parametric inference is investigated.
Keywords :
ad hoc networks; performance evaluation; radio links; statistical distributions; adaptive ad hoc networks; distribution model; feasible link statistics; link statistic metrics; locally observable metrics; network performance; parametric inference; probability density function; Ad hoc networks; Adaptive systems; Maximum likelihood estimation; Neodymium; Network topology; Peer to peer computing; Routing protocols; Stability; Statistical distributions; Statistics;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0062-7
Electronic_ISBN :
1-4244-0063-5
DOI :
10.1109/VTCF.2006.503
