We propose a novel approach inspired by compressible fluids as a distributed and scalable solution to the deployment problem of mobile sensor networks in unknown environments. Our approach is based on fluid dynamics through which we model the sensor network as a fluid body and each sensor node as a fluid element. Originating from local neighborhood interactions, the principles of fluid flow are adapted to the deployment of the sensor network. Mimicking the diffusive and self-spreading behavior of compressible fluids in a mobile sensor network, we achieve the desirable properties of effective coverage, scalability, and distributed self-deployment. An adaptive deployment scheme is also devised for urban disaster environments where the number of nodes to be deployed may not be determined a priori. Simulation results show that our approach can guarantee a desired level coverability
%0 Conference Proceedings
%1 Pac2006Scalable
%A Pac, M. R.
%A Erkmen, A. M.
%A Erkmen, I.
%B Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
%D 2006
%J Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
%K wsn mobile-sensors coverage
%P 1446--1451
%R 10.1109/iros.2006.281969
%T Scalable Self-Deployment of Mobile Sensor Networks: A Fluid Dynamics Approach
%U http://dx.doi.org/10.1109/iros.2006.281969
%X We propose a novel approach inspired by compressible fluids as a distributed and scalable solution to the deployment problem of mobile sensor networks in unknown environments. Our approach is based on fluid dynamics through which we model the sensor network as a fluid body and each sensor node as a fluid element. Originating from local neighborhood interactions, the principles of fluid flow are adapted to the deployment of the sensor network. Mimicking the diffusive and self-spreading behavior of compressible fluids in a mobile sensor network, we achieve the desirable properties of effective coverage, scalability, and distributed self-deployment. An adaptive deployment scheme is also devised for urban disaster environments where the number of nodes to be deployed may not be determined a priori. Simulation results show that our approach can guarantee a desired level coverability
@proceedings{Pac2006Scalable,
abstract = {{We propose a novel approach inspired by compressible fluids as a distributed and scalable solution to the deployment problem of mobile sensor networks in unknown environments. Our approach is based on fluid dynamics through which we model the sensor network as a fluid body and each sensor node as a fluid element. Originating from local neighborhood interactions, the principles of fluid flow are adapted to the deployment of the sensor network. Mimicking the diffusive and self-spreading behavior of compressible fluids in a mobile sensor network, we achieve the desirable properties of effective coverage, scalability, and distributed self-deployment. An adaptive deployment scheme is also devised for urban disaster environments where the number of nodes to be deployed may not be determined a priori. Simulation results show that our approach can guarantee a desired level coverability}},
added-at = {2019-06-10T14:53:09.000+0200},
author = {Pac, M. R. and Erkmen, A. M. and Erkmen, I.},
biburl = {https://www.bibsonomy.org/bibtex/2fdd4fee3fdd9176189ead604a16ccecb/nonancourt},
booktitle = {Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on},
citeulike-article-id = {4509552},
citeulike-linkout-0 = {http://dx.doi.org/10.1109/iros.2006.281969},
citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4058575},
doi = {10.1109/iros.2006.281969},
interhash = {a88a1916b76ed5b4462532b434b99d4e},
intrahash = {fdd4fee3fdd9176189ead604a16ccecb},
journal = {Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on},
keywords = {wsn mobile-sensors coverage},
pages = {1446--1451},
posted-at = {2009-05-13 10:08:37},
priority = {2},
timestamp = {2019-08-01T15:35:04.000+0200},
title = {{Scalable Self-Deployment of Mobile Sensor Networks: A Fluid Dynamics Approach}},
url = {http://dx.doi.org/10.1109/iros.2006.281969},
year = 2006
}