In this work we consider the application of the graph theory for construction the optimal and suboptimal solutions to the sensor location problem. That problem is named Sensor Location Problem for a graph (SLP). For constructing the solution of the SLP for a graph we presented the pseudocodes of the algorithm's for finding the flow arcs for the non observered part on the network. In the pseudocode of the algorithm 1 defines sensor configurations of the suboptimal solution and flows on the arcs on the unobserved part of the network
The sensor network localization problem with distance information is to determine the positions of a...
The sensor network localization problem with distance information is to determine the positions of a...
This paper studies two problems that arise in optimization of sensor networks: First, we devise prov...
In this work we consider the application of the graph theory for construction the optimal and subopt...
available for noncommercial, educational purposes, provided that this copyright statement appears on...
We introduce sparse linear underdetermined systems with embedded network structure. Their structure ...
The problem of optimally locating sensors on a traffic network to monitor flows has been an object o...
Abstract: We consider algorithms and data structures for solving sparse linear system with embedded ...
Полный текст статьи можно найти по адресу: http://proceedings.aip.org/resource/2/apcpcs/1410/1/339_...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
Секция 10. Теоретическая информатикаWe consider algorithms decomposition linear systems with embedde...
Graph theory has been used to characterize t he solvability of the sensor network localization probl...
The sensor network localization problem with distance information is to determine the positions of a...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
The sensor network localization problem with distance information is to determine the positions of a...
The sensor network localization problem with distance information is to determine the positions of a...
This paper studies two problems that arise in optimization of sensor networks: First, we devise prov...
In this work we consider the application of the graph theory for construction the optimal and subopt...
available for noncommercial, educational purposes, provided that this copyright statement appears on...
We introduce sparse linear underdetermined systems with embedded network structure. Their structure ...
The problem of optimally locating sensors on a traffic network to monitor flows has been an object o...
Abstract: We consider algorithms and data structures for solving sparse linear system with embedded ...
Полный текст статьи можно найти по адресу: http://proceedings.aip.org/resource/2/apcpcs/1410/1/339_...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
Секция 10. Теоретическая информатикаWe consider algorithms decomposition linear systems with embedde...
Graph theory has been used to characterize t he solvability of the sensor network localization probl...
The sensor network localization problem with distance information is to determine the positions of a...
Полный текст статьи можно найти по адресу: http://scitation.aip.org/content/aip/proceeding/aipcp/10...
The sensor network localization problem with distance information is to determine the positions of a...
The sensor network localization problem with distance information is to determine the positions of a...
This paper studies two problems that arise in optimization of sensor networks: First, we devise prov...