TY - GEN
T1 - Control-theoretic, mission-driven, optimization techniques for wireless sensor networks
AU - Misra, Archan
AU - Eswaran, Sharanya
AU - La Porta, Thomas
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=66549101641&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=66549101641&partnerID=8YFLogxK
U2 - 10.1109/COMSNETS.2009.4808837
DO - 10.1109/COMSNETS.2009.4808837
M3 - Conference contribution
AN - SCOPUS:66549101641
SN - 9781424429127
T3 - 1st International Conference on Communication Systems and Networks and Workshops, COMSNETS 2009
BT - 1st International Conference on Communication Systems and Networks and Workshops, COMSNETS 2009
T2 - 1st International Conference on Communication Systems and Networks and Workshops, COMSNETS 2009
Y2 - 5 January 2009 through 10 January 2009
ER -