In this thesis, we propose a high level design for connectivity visualization of OLSRbased
MANET topology based on local topology databases available in an OLSR node.
Two different scenarios are considered: a central (full view) topology from a command
and control location, or a nodal (partial) view from an ad-hoc node. A simulation-based
analysis is conducted to calculate total number of active links at a particular time in full
and nodal topology views. Also the error rate of network topology discovery based on
total undiscovered link both mobile and static scenario is considered and reported. We
also come up with an analytical model to analyse the network bandwidth and overhead of
using TC, HELLO and custom NIM message to evaluate the performance of centralized
visualization to build full map of the network with respect to situational awareness
system. This thesis also presents a multi-node, 2-dimensional, distributed technique for
coarse (approximate) localization of the nodes in a tactical mobile ad hoc network. The
objective of this work is to provide coarse localization information based on layer-3
connectivity information and a few anchor nodes or landmarks, and without using
traditional methods such as signal strength, Time of Arrival (ToA) or distance
information. We propose a localization algorithm based on a Force-directed method that
will allow us to estimate the approximate location of each node based on network
topology information from a local OLSR database. We assume the majority of nodes are
not equipped with GPS and thus do not have their exact location information. In our
proposed approach we make use of the possible existence of known landmarks as
reference points to enhance the accuracy of localization. / UOIT
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OOSHDU.10155/211 |
| Date | 01 January 2012 |
| Creators | Islam, Z.M. Faizul |
| Contributors | Heydari, Shahram S. |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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