Performance metrics for self-positioning autonomous MANET nodes

Authors

  • Janusz Kusyk The United States Patent and Trademark Office, Alexandria, VA, USA
  • Jianmin Zou The Department of Electrical Engineering, The City College of New York, NY,USA
  • Stephen Gundry The Department of Electrical Engineering, The City College of New York, NY,USA
  • Cem Safak Sahin BAE Systems – AIT, Burlington, MA, USA
  • M. ̈Umit Uyar The Department of Electrical Engineering, The City College of New York, NY,USA

DOI:

https://doi.org/10.13052/jcsm2245-1439.223

Keywords:

Topology control, MANETs, node-spreading, uniformity measures, Voronoi tessellation, area coverage, game theory, bio-inspired algorithms

Abstract

We present quantitative techniques to assess the performance of mobile ad hoc network (MANET) nodes with respect to uniform distribution, the total terrain covered by the communication areas of all nodes, and distance traveled by each node before a desired network topology is reached.Our uniformity metrics exploit information from a Voronoi tessellation generated by nodes in a deployment territory.Since movement is one of the most power consuming tasks that mobile nodes execute, the average distance traveled by each node (ADT) before the network reaches its final distribution provides an important performance assessment tool for power-aware MANETs.Another performance metric, network area coverage (NAC) achieved by all nodes, can demonstrate how efficient the MANET nodes are in maximizing the area of operation.Using these metrics, we evaluate our node-spreading bio-inspired game (BioGame), that combines our force-based geneticalgorithm (FGA) and game theory to guide autonomous mobile nodes in making movement decisions.Our simulation experiments demonstrate that these performance evaluation metrics are good indicators for assessing the efficiency of node distribution methods.

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Author Biographies

Janusz Kusyk, The United States Patent and Trademark Office, Alexandria, VA, USA

Janusz Kusyk, Ph.D., received B.S. and M.A. degrees in Computer Science from Brooklyn College, Brooklyn, New York in 2002 and 2006, respectively, and he received Ph.D. degree in Computer Science in the Graduate Center, The City University of New York in 2012. Currently, he is a Patent Examinerat USPTO, Alexandria, VA. His research interests are in the areas of network modeling and analysis and applications of game theory and genetically inspired algorithms to wireless networks and distributed robotics.

Jianmin Zou, The Department of Electrical Engineering, The City College of New York, NY,USA

Jianmin Zou received his B.S. degrees in both Computer Science and Chemical Engineering from Huazhong University of Science and Technology, P. R. of China in 2009. He is currently a Ph.D. candidate at the City College of New York (CCNY) of the City University of New York(CUNY). His interests include wireless mobile ad hoc networks, underwater sensor networks, biologically inspired algorithms and game theory.

Stephen Gundry, The Department of Electrical Engineering, The City College of New York, NY,USA

Stephen Gundry received two Bachelor of Science degrees in both Engineering Science and Physics from the City University of New York at the College of Staten Island (CSI), in 2003, and a Master of Engineering degree in Electrical Engineering from the City University of New York at the City College of New York (CCNY), in 2009 and is currently a Ph.D.candidate at this institution. His interests include biologically inspired algorithms, artificial intelligence, game theory and mobile ad hoc networks.

Cem Safak Sahin, BAE Systems – AIT, Burlington, MA, USA

Cem Safak Sahin, Ph.D., received his B.S. degree from Gazi University,Turkey in 1996, M.S. degree from Middle East Technical University, Turkey in 2000, and M. Phil. and Ph.D. degrees from the City University of New York in 2010, all in Electrical Engineering. Until 2004 he was an engineer at Roketsan Inc., a leading defense company of Turkey’s rocket and missile research and production programs. From 2004 to 2008, he was Principal Engineer, Systems Design at Mikes Inc., a defense company specializing in Electronic Warfare Systems, working as part of a multi-national defense project in the United States. He was Senior Software Engineer from 2008 to 2010 in Elanti System. Currently, he is Senior Research Engineer at BAE Systems-AIT in Burlington, MA. His interests include wireless ad-hoc networks, bio-inspired algorithms, communication theory, multi-sensor fusion, algorithm development, artificial intelligence, machine learning, and electronic warfare systems.

M. ̈Umit Uyar, The Department of Electrical Engineering, The City College of New York, NY,USA

M. ̈Umit Uyar, Ph.D., is a Professor with the Electrical Engineering Department of the City College and the Computer Science Department of the Graduate Center of the City University of New York. His interests include bio-inspired computation with applications to the mobile ad hoc networks,distributed robotics tasks and cancer chemotherapy treatment decision support systems. Dr. Uyar was the lead principle investigator for several large grants from U.S. Army and NSF to conduct research on knowledge sharing mobile agents using bio-inspired algorithms for topology control in MANETs and for a smart robot brain on FPGA which has reliable communication capabilities. Prior to joining academia, he was a Distinguished Member of Technical Staff at AT&T Bell Labs until 1993. He is an IEEE Fellow and holds six U.S. patents. Dr. M. Umit Uyar has a B.S. degree from Istanbul Technical University, and M.S. and Ph.D. degrees from Cornell University, Ithaca, NY, all in electrical engineering.

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Published

2013-07-25

How to Cite

1.
Kusyk J, Zou J, Gundry S, Sahin CS, Uyar M̈. Performance metrics for self-positioning autonomous MANET nodes. JCSANDM [Internet]. 2013 Jul. 25 [cited 2024 May 20];2(2):151-73. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/6139

Issue

2013: Vol 2 Iss 2

Section

Articles