Effects of communication on mobile sensor networks

Flavio Cabrera, Jizhong Xiao, Yi Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The vague assumption of a fixed communication range has facilitated the development of major areas of study in mobile sensor networks such as connectivity, coverage, and self-deployment algorithms by providing a stable element as a foundation for their analysis, but more precise communication model is required in order to convert theoretical simulations into realistic applications. This paper studies the effects of more realistic communication models on mobile sensor networks/Ad-hoc networks taking into consideration multi-access interference and noise and their impact on the communication range of the nodes. The study shows that the communication range changes with the characteristics of the network (network parameters and node distribution). Simulation results justify our findings and future research directions are discussed.

Original languageEnglish (US)
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages1452-1457
Number of pages6
DOIs
Publication statusPublished - Dec 1 2006
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: Oct 9 2006Oct 15 2006

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Other

Other2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
CountryChina
CityBeijing
Period10/9/0610/15/06

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Cabrera, F., Xiao, J., & Sun, Y. (2006). Effects of communication on mobile sensor networks. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 (pp. 1452-1457). [4058576] (IEEE International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS.2006.281970