1. Abstract
Wireless mesh connecting is a type of networking where nodes in a given network are able to
communicate with one another, directly. One such example for mesh networking is a cellular network,
or also known as mobile wireless network. All the theoretical models of mesh networks are hardly
feasible into practice because of variety of reasons. The most common problem is the heterogeneity,
or the complex variability of the network. In contrast to the networking in the past, today there are lots
of users in a bigger city for example, thus the organization of the current network would be practically
impossible, unless some automatic organization mechanism exists.
On a greater scale, the mesh networks report variety of problems, such as: routing, channel
assignment and of course, the most important quality of service (QoS), etc. All the algorithms used for
solving those problems are based on already existing algorithms, and they are adapted to correspond
with the adequate situation for which the problem emerges. In the most cases the algorithms work, but
the quality of service usually degrades due to the limitations of physics and mathematics. In order to
solve that problem, secondary mechanisms are employed, which aim to achieve more optimal quality
of service, compensating for the network performance, energy efficiency and the cost of the current
service which the user needs to pay for.
The aim of this master thesis is to investigate one possibly viable principle, which would be able to
eliminate the current problems, to recalibrate the routing and make it variable in contrast to the
situation in the network, to determine a system which needs to decide by itself what to choose in a
given situation, and thus to respond adequately in order to ensure the integrity and robustness are
within the limits of optimal network functionality. Also, the security is defined with specific
principles further in the thesis. The proposed model is based in part on the human immune system,
which in the medicine is subject of research known as HLA (Human Leukocyte Agent), which detects
foreign bodies in the organism, autoimmune reaction, organ transplantation rejection or acceptance,
protection of viral and bacterial infections etc. In the human leukocyte agent there is a complex called
Major Histocompatibility Complex or MHC, which is divided into 3 classes. In the genes of the MHC
complex class 1 and 2, there are protein cells which play role as pheromone receptors. Because of the
fact that it is very hard to manipulate with the pheromonal activities, thus it is very hard to prove
variety of scenarios connected with that matter. According to that fact, all the researches are based in-
vivo or on statistical methods. The pheromone reaction and reception processing is essential for mate
selection among the animals in the nature, especially at mammals and currently humans. This research
incorporates and defines scenarios, where the same selection mechanism can be exploited to be
adapted into mesh networking model of a synthetic network interconnection. The results of the
research are processed by theoretical model, based on genetic algorithms such as Gibbs sampler and
the adaptation of the Mahalanobis distance algorithm, also known as GenMatch. After that, the results

2. are covered in Matlab as real case scenario in a smaller mesh network model. At that point, other
aspects of connecting are taken into consideration, and thus few suggestions from quantum mechanics
are presented as a solution for the networking problem.