Modelling extremal events: for insurance and finance
Modelling extremal events: for insurance and finance
Power management techniques for mobile communication
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A Survey of Energy Efficient Network Protocols for Wireless Networks
Wireless Networks
Minimizing energy for wireless web access with bounded slowdown
Proceedings of the 8th annual international conference on Mobile computing and networking
Wake on wireless: an event driven energy saving strategy for battery operated devices
Proceedings of the 8th annual international conference on Mobile computing and networking
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
Link Stability in Mobile Wireless Ad Hoc Networks
LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
LISP: Link-Indexed Statistical Traffic Prediction Approach to Improving IEEE 802.11 PSM
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Energy Efficient Data Collection in Distributed Sensor Environments
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Evaluating the Impact of Limited Resource on the Performance of Flooding in Wireless Sensor Networks
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Power saving mechanisms for ad hoc networks based on handshaking information tapping
VECoS'08 Proceedings of the Second international conference on Verification and Evaluation of Computer and Communication Systems
A novel efficient power-saving MAC protocol for multi-hop MANETs
International Journal of Communication Systems
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This paper proposes Silent Networking - a new method to significantly increase the lifetimes of energy-constrained nodes, networks, and mobile user devices. With Silent Networking, each network element powers off some or all of its radio interfaces during their naturally occurring silent periods, i.e., time periods when it does not expect to originate, receive, or relay traffic through those interfaces even if these interfaces are powered on. Each node makes its own autonomous decisions on whether, when, and for how long to power down which of its network interfaces, i.e., without exchanging any explicit or implicit signaling messages with other nodes. Second, network nodes and user devices make such power-down decisions in a way that is transparent to the networking protocols and user applications so that existing and new networking protocols can be used without modifications to support networking as they are used today. Silent networking increases the network and user device lifetimes, adding to energy savings achieved from energy-efficient networking protocols and applications. We present results of laboratory experiments to show that the proposed Silent Networking approach can significantly increase the lifetime of energy-constrained networks and mobile user devices.