Interference power statistics in ad-hoc and sensor networks

Authors:
R. Hekmat;P. Van Mieghem
Affiliations:
Delft University of Technology, Electrical Engineering, Mathematics and Computer Science, GA, Delft, The Netherlands;Delft University of Technology, Electrical Engineering, Mathematics and Computer Science, GA, Delft, The Netherlands
Venue:
Wireless Networks
Year:
2008

Citing 5
Cited 2

Wireless Communications: Principles and Practice

Wireless Communications: Principles and Practice
Connectivity of wireless multihop networks in a shadow fading environment

MSWIM '03 Proceedings of the 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
The capacity of wireless networks

IEEE Transactions on Information Theory
Intelligent medium access for mobile ad hoc networks with busy tones and power control

IEEE Journal on Selected Areas in Communications

Interference mitigation in WSN by means of directional antennas and duty cycle control

Wireless Communications & Mobile Computing
BER-based Power Scheduling in Wireless Sensor Networks

Journal of Signal Processing Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

There exist accurate calculation methods for estimation of interference power sum statistics in fixed-topology wireless networks based on the log-normal shadowing 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. In our calculations we take into account radio propagation conditions, density of nodes, size of the network, traffic load per node and MAC protocol characteristics. The accuracy of our 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.