Title of Thesis
Ants inspired Traffic classification in Mobile Ad Hoc Networks
Department of Electrical Engineering /
University of Engineering and Technology, Peshawar
|Number of Pages|
|Keywords (Extracted from title, table of contents and
abstract of thesis)|
Bandwidths, Mobile, Inspired,
Routing, Communication, Independent, Networks, Intelligence,
Bandwidths, Environment, Ants, Conventional, Classification, Traffic
Mobile ad hoc
network is new paradigm in communication networks.Unlike wired or binternet, these are wireless networks consisting of mobile nodes
which are rapidly deployable and self organizing in nature.
Communication between network nodes takes place through scarce
wireless channels.Each node is capable of relaying the traffic of
other nodes, so called multi hop network.
The rising popularity and commercial usage of MANETs demands support
for Quality of Service in such networks to work effectively.Supporting QoS in such ad hoc environments has been broadly accepted
as a tricky problem due to particular uniqueness of these networks
such as dynamics of the environment, node mobility, and
improbability of availability of resources.
Active research is underway in the area of providing quality of
service in mobile ad hoc networks but work is still considered in
its nascent stage, which can broadly be categorized in two main
streams.One deals with proposing extensions in already proposed
best effort routing protocols, while other is dedicated towards
developing purpose built QoS aware routing protocols based on
conventional routing approaches. Both of these strategies are unable
to offer a mature solution for dynamics of MANET environment.
Recent research in swarm intelligence has revealed matching
properties between the routing requirements of communication
networks and certain tasks that exist in social insect colonies.
Research community has proposed promising solutions for routing in
dynamic ad hoc networks on the basis of these swarm intelligence
In this thesis, in the first stage, simulation has been carried out
for performance evaluation of two leading MANET routing protocols to
emphasize the ineffectiveness of conventional routing techniques. In
the second stage, a novel QoS provisioning scheme called Ants
Inspired Traffic Classification in Mobile Ad Hoc Networks has been
developed which is based on Swarm intelligence obtained through
stigmergy process found in nature like ant colony.Most of the
conventional routing approaches heavily rely on feedback from other
layers while this approach is layer independent in nature.
Service classes are made available through the proposed solution in order to serve
according to priority of the traffic. The solution uses an adaptive approach giving
alternate QoS supporting paths, which are instantly made available in case of degraded
performance that often happens in dynamic environment of MANET. Redundant
routes often appear in MANET’s dynamic environment and remain present in routing
tables thus increasing overheads.The proposed solution addresses this issue through
evaporation property of Pheromone in Swarm Intelligence.
In our case, the most important parameter of QoS is considered in terms of Bandwidth.
Our SI based protocol defines traffic paths in the network of various classes belonging
to different range of bandwidths.