Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Rate allocation in wireless sensor networks with network lifetime requirement
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Operator placement for in-network stream query processing
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Network-Aware Operator Placement for Stream-Processing Systems
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Distributed Resource Management and Admission Control of Stream Processing Systems with Max Utility
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
Sensing task assignment via sensor selection for maximum target coverage in WSNs
Journal of Network and Computer Applications
| Hi-index | 0.00 |
Network Utility Maximization (NUM) techniques which cast resource sharing problems as one of distributed utility maximization, have been investigated for a variety of optimization problems in wireless and wired networks. Our recent work has extended the NUM framework to consider the case of resource sharing by multiple competing missions in a military-centric wireless sensor network (WSN) environment. Our enhanced NUM-based protocols provide rapid and dynamic mission-based adaptation of tactical wireless networks to support the transport of sensor data streams with very small control overhead. In particular, we focus specifically on mechanisms that capture the joint nature of mission utilities and the presence of prioritized mission demands. We then introduce a new problem, of joint utility and network lifetime maximization, as a representative of a new class of multi-metric optimization problems, and provide early evidence that techniques from optimal control theory can be used to derive distributed adaptation protocols conforming to the basic NUM paradigm. We also enumerate and motivate a list of open cross-layer dynamic adaptation problems of direct relevance to military C4I operations.