Research Article | OPEN ACCESS
Simulation of Obstruction Avoidance Generously Mobility (OAGM) Model using Graph-theory Technique
V. Vasanthi and M. Hemalatha
Department of Computer Science, Karpagam University, Coimbatore, India
Research Journal of Applied Sciences, Engineering and Technology 2013 9:2799-2808
Received: December 07, 2012 | Accepted: January 11, 2013 | Published: March 20, 2013
Abstract
An Obstruction Avoidance Generously Mobility (OAGM) model has been introduced for controlling ad-hoc sensor networks and thereby operating emerging fields like military and healthcare services. According to this model, the ability to send a message to a group of users simultaneously, based solely on their geographic location, is desirable by using Mission Critical Mobility model that assumes the obstacle shapes like rectangle or square in the simulation terrain. The OAGM model is developed by grasping the critical situations of military and healthcare services by incorporating the node movement model, hierarchical node organization, placement of obstacle that affect the movement of nodes and also signal propagation. Graph theory technique is used to find the shortest path of the node movement process. The varying number of parameter sets with DSR protocol is analyzed for MCM and OAGM mobility model. The results show OAGM performance is better than MCM.
Keywords:
Hybrid bellman-ford-dijkstra algorithm, mission critical mobility, mobility model, NS2, performance,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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