| Abstract: | This paper presents DARC (Directional Adaptive Range Control), a range control mechanism using directional antennas to be implemented across multiple layers. DARC uses directional reception for range control rather than directional transmission in order to achieve both range extension and high spatial reuse. It adaptively controls the communication range by estimating dynamically changing local network density based on the transmission activities around each network node. The experimental results using simulation with detailed physical layer, IEEE 802.11 DCF MAC, and AODV protocol models have shown the successful adaptation of communication range with DARC for varied network densities and traffic loads. DARC improves the packet delivery ratio by a factor of 9 at the maximum for sparse networks while it maintains the increased network capacity for dense networks. Further, as each node adaptively changes the communication range, the network delivers up to 20% more packets with DARC compared to any fixed range configurations.Mineo Takai is a Principal Development Engineer in the Computer Science Department at University of California, Los Angeles. He received his B.S., M.S. and Ph.D. degrees, all in electrical engineering, from Waseda University, Tokyo, Japan, in 1992, 1994 and 1997 respectively.Dr. Takai’s research interests include parallel and distributed computing, mobile computing and networking, and modeling and simulation of networked systems. He is a member of the ACM, the IEEE and the IEICE.Junlan Zhou received her B.S in Computer Science from Huazhong University of Science and Technology in 1998, her M.Eng in Computer Engineering from Nanyang Technological University in 2001 and her M.S in Computer Science from University of California, Los Angeles in 2003. She is currently a Ph.D candidate in the Computer Science Department at University of California, Los Angeles. Her research interests include modeling and simulation of wireless networks, protocol design and analysis of wireless networks, and broad areas of distributed computing.Rajive Bagrodia is a Professor of Computer Science at UCLA. He obtained a Bachelor of Technology in electrical engineering from the Indian Institute of Technology, Bombay and a Ph.D. in Computer Science from the University of Texas at Austin. Professor Bagrodia’s research interests include~wireless networks, performance modeling and~simulation, and nomadic computing. He has published over a hundred research papers on the preceding topics. The research has been funded by a variety of government and industrial sponsors including the National Science Foundation, Office of Naval Research, and the Defense Advanced Research Projects Agency. He is an associate editor of the ACM Transactions on Modeling and Computer Systems (TOMACS). |
