Deploying Sensor Networks With Guaranteed Fault Tolerance

We consider the problem of deploying or repairing a sensor network to guarantee a specified level of multipath connectivity (k-connectivity) between all nodes. Such a guarantee simultaneously provides fault tolerance against node failures and high overall network capacity (by the max-flow min-cut th...

Full description

Bibliographic Details
Main Authors: Hajiaghayi, Mohammad Taghi (Author), Bredin, Jonathan L. (Contributor), Demaine, Erik D. (Contributor), Rus, Daniela L. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-04-04T21:32:47Z.
Subjects:
Online Access:Get fulltext
LEADER 02613 am a22003253u 4500
001 69942
042 |a dc 
100 1 0 |a Hajiaghayi, Mohammad Taghi  |e author 
100 1 0 |a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory  |e contributor 
100 1 0 |a Demaine, Erik D.  |e contributor 
100 1 0 |a Bredin, Jonathan L.  |e contributor 
100 1 0 |a Demaine, Erik D.  |e contributor 
100 1 0 |a Rus, Daniela L.  |e contributor 
700 1 0 |a Bredin, Jonathan L.  |e author 
700 1 0 |a Demaine, Erik D.  |e author 
700 1 0 |a Rus, Daniela L.  |e author 
245 0 0 |a Deploying Sensor Networks With Guaranteed Fault Tolerance 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2012-04-04T21:32:47Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/69942 
520 |a We consider the problem of deploying or repairing a sensor network to guarantee a specified level of multipath connectivity (k-connectivity) between all nodes. Such a guarantee simultaneously provides fault tolerance against node failures and high overall network capacity (by the max-flow min-cut theorem). We design and analyze the first algorithms that place an almost-minimum number of additional sensors to augment an existing network into a k -connected network, for any desired parameter k . Our algorithms have provable guarantees on the quality of the solution. Specifically, we prove that the number of additional sensors is within a constant factor of the absolute minimum, for any fixed k . We have implemented greedy and distributed versions of this algorithm, and demonstrate in simulation that they produce high-quality placements for the additional sensors. 
520 |a National Science Foundation (U.S.) (Grant IIS-0426838) 
520 |a National Science Foundation (U.S.) (Grant IIS-0225446) 
520 |a National Science Foundation (U.S.) (Grant ITR ANI-0205445) 
520 |a United States. Army Research Office. Multidisciplinary University Research Initiative. Scalable Swarms of Autonomous Robots and Mobile Sensors Project 
520 |a United States. Army Research Office. Multidisciplinary University Research Initiative. Smart Adaptive Reliable Teams for Persistent Surveillance 
520 |a United States. Army Research Office. Multidisciplinary University Research Initiative. Adaptive Networks for Threat and Intrusian Detection Or TErmination 
520 |a United States. Dept. of Homeland Security. Office for Domestic Preparedness (Award Number 2000-DT-CX-K001) 
546 |a en_US 
655 7 |a Article 
773 |t IEEE/ACM Transactions on Networking