A generalized optimization framework for control plane in tactical wireless networking
Title | A generalized optimization framework for control plane in tactical wireless networking |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Jalaian, B., Dasari, V., Motani, M. |
Conference Name | 2017 International Conference on Computing, Networking and Communications (ICNC) |
Date Published | Jan. 2017 |
Publisher | IEEE |
ISBN Number | 978-1-5090-4588-4 |
Keywords | Ad hoc networks, clean slate, Collaboration, control plane, crosslayer optimization framework, generalized optimization framework, global network optimization framework, Human Behavior, human factor, human factors, Interference, Metrics, military communication, multihop tactical wireless networks, network layers, optimisation, Optimization, policy governance, Policy-Governed Secure Collaboration, pubcrawl, resilience, Resiliency, seamless multihop communications, spread spectrum communication, tactical wireless networking, telecommunication control, Throughput, throughput maximization problem, Transmitters, wireless multihop tactical networking, wireless networks |
Abstract | Tactical networks are generally simple ad-hoc networks in design, however, this simple design often gets complicated, when heterogeneous wireless technologies have to work together to enable seamless multi-hop communications across multiple sessions. In recent years, there has been some significant advances in computational, radio, localization, and networking te, and session's rate i.e., aggregate capacity averaged over a 4-time-slot frame)chnologies, which motivate a clean slate design of the control plane for multi-hop tactical wireless networks. In this paper, we develop a global network optimization framework, which characterizes the control plane for multi-hop wireless tactical networks. This framework abstracts the underlying complexity of tactical wireless networks and orchestrates the the control plane functions. Specifically, we develop a cross-layer optimization framework, which characterizes the interaction between the physical, link, and network layers. By applying the framework to a throughput maximization problem, we show how the proposed framework can be utilized to solve a broad range of wireless multi-hop tactical networking problems. |
URL | http://ieeexplore.ieee.org/document/7876268/ |
DOI | 10.1109/ICCNC.2017.7876268 |
Citation Key | jalaian_generalized_2017 |
- optimisation
- wireless networks
- wireless multihop tactical networking
- Transmitters
- throughput maximization problem
- Throughput
- telecommunication control
- tactical wireless networking
- spread spectrum communication
- seamless multihop communications
- Resiliency
- resilience
- pubcrawl
- Policy-Governed Secure Collaboration
- policy governance
- optimization
- Ad hoc networks
- network layers
- multihop tactical wireless networks
- military communication
- Metrics
- Interference
- Human Factors
- human factor
- Human behavior
- global network optimization framework
- generalized optimization framework
- crosslayer optimization framework
- control plane
- collaboration
- clean slate