Paper Info
Title
Interference Power Sum with Log-Normal Components in Ad-Hoc and Sensor Networks
Abstract
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power sum statistics in fixed-topology wireless networks based on this radio model. Here we publish essential additions to these estimation methods to expand their use to sensor networks and ad-hoc networks with changing topology. To our best knowledge this has not been done before. Taking into account radio propagation conditions, density of nodes, size of the network, traffic load per node and MAC protocol characteristics we present a calculation method for the estimation of interference power sum statistics in wireless ad-hoc and sensor networks. The accuracy of the calculation method is verified by simulations. We highlight the influence of MAC protocols on interference and show that an increase in network size or in node density does not necessarily lead into higher interference values. Our results can be deployed to estimate the network capacity.
Year
DOI
Venue
2005
10.1109/WIOPT.2005.23
WiOpt
Keywords
Field
DocType
account radio propagation condition,estimation method,fixed-topology wireless network,interference power sum,sensor networks,calculation method,log-normal components,interference power sum statistic,accurate calculation method,model radio propagation condition,ad-hoc network,higher interference value,radio model,interference,ad hoc network,shadow mapping,log normal distribution,network topology,radio propagation,sensor network,wireless sensor networks,ad hoc networks,statistics
Radio resource management,Key distribution in wireless sensor networks,Wireless network,Wireless,Computer science,Computer network,Network topology,Wireless ad hoc network,Wireless sensor network,Radio propagation,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2267-X
8
0.59
References 
Authors
7
2
Name
Order
Citations
PageRank
R. Hekmat11105.69
Piet Van Mieghem21433115.36