Abstract
In this paper, we present the dependency between density of a sensor network and map quality in the radio environment map (REM) concept. The architecture of REM supporting military communications systems is described. The map construction techniques based on spatial statistics and transmitter location determination are presented. The problem of REM quality and relevant metrics are discussed. The results of field tests for UHF range with a different number of sensors are shown. Exemplary REM maps with different interpolation algorithms are presented. Finally, the problem of density of a sensor network versus REM map quality is analyzed.
Highlights
In recent years in many fields of technology, there has been a growing trend towards creating intelligent solutions that autonomously make decisions about their actions
Measurements were taken in a real environment with 39 sensors to get input data and exemplary maps were created using different construction techniques, namely nearest neighbor, inverse distance weighting (IDW), and Kriging
The results for nearest neighbor (NN) method are comparable for both tests (RMSE oscillates around 11.85 dB)
Summary
In recent years in many fields of technology, there has been a growing trend towards creating intelligent solutions that autonomously make decisions about their actions. This trend can be noticed in wireless communications. It is worth mentioning here such solutions as self-organizing networks [1, 2], disruption-tolerant networks [3], dynamic spectrum management [4, 5], and cognitive radio [6]. New technical solutions are adopted with great caution as they are used in very specific conditions and have to be extremely reliable. In MANET, all radios play the role of user terminals and relay nodes
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