Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Anchor Nodes Positioning for Self-localization in Wireless Sensor
  Networks using Belief Propagation and Evolutionary Algorithms   Locating each node in a wireless sensor network is essential for starting the
monitoring job and sending information about the area. One method that has been
used in hard and inaccessible environments is randomly scattering each node in
the area. In order to reduce the cost of using GPS at each node, some nodes
should be equipped with GPS (anchors), Then using the belief propagation
algorithm, locate other nodes. The number of anchor nodes must be reduced since
they are expensive. Furthermore, the location of these nodes affects the
algorithm's performance. Using multi-objective optimization, an algorithm is
introduced in this paper that minimizes the estimated location error and the
number of anchor nodes. According to simulation results, This algorithm
proposes a set of solutions with less energy consumption and less error than
similar algorithms.

16
The categories of this paper are: stat
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph