Dynamic Communication for MilitaryWireless Networks under Spectral,Spatial, and Temporal Uncertainty
Abstract
Dynamic Communication for Military Wireless Networks under Spectral, Spatial, and Temporal Uncertainty Ness B. Shroff The Ohio State University The driving goal of this proposed effort is to develop adaptive wireless spectrum access, scheduling, flow control, and routing algorithms that are robust to the dynamic, harsh, and adversarial nature of today s Command and Control (C2) tactical systems. To achieve this goal, the biggest challenge stems from the imperfect knowledge of the fast-changing battlefield network states (e.g., network topology states, spectrum and channel states, queue buffer states, etc.), which makes existing spectrum access, flow control, and multi-hop routing techniques for conventional wireless networks ineffective. In a battlefield setting, network state variation and non-stationarity arise from myriad sources, including fast channels fluctuations, rapidly changing topologies, irrepressible interference and jamming due to adversarial enemy actions. To overcome these challenges, our research efforts jointly consider the spatial, temporal and spectral uncertainty in tactical network state knowledge. We will lessen the uncertainty of network states and virtually slow down the rate of network changes by: (i) Dynamic network control under uncertain channel state information; (ii) Cooperative spectrum sensing and channel assignment; and (iii) Fast-converging distributed flow control and multi-hop routing. The combined effect of the three ideas is a suite of robust and efficient algorithms for highly dynamic tactical networks. We will also develop a network-scale simulation platform to understand the practical gains from the proposed algorithms. This platform will be used for targeted experiments to characterize the performance of the key elements of the proposed theoretical techniques. The research outlined in this project is ambitious with the potential for significant breakthroughs in the control and management of future military information networks. The outcomes of this project will result in distributed, low-complexity, and robust control mechanisms for effective and efficient flow control and optimized routing that is suitable for tactical environments, while at the same time taking into consideration the spatial, temporal and spectral uncertainty that these tactical environments are defined by.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512166
Entities
People
- Ness Shroff
Organizations
- Office of Naval Research
- Ohio State University
- United States Navy