Large scale experiment and optimization of a distributed stochastic control algorithm. Application to energy management problems

Wireless mesh networks (WMNs) are a promising networking paradigm for next generation wireless networking system. Power control plays a vital role in WMNs and is realized to be a crucial step toward large-scale WMNs deployment. In this paper, we address the problem of how to allocate the power for both optimizing quality of service (QoS) and saving the power consumption in WMNs based on the game theory. We first formulate the problem as a noncooperative game, in which the QoS attributes and the power of each node are defined as a utility function, and all the nodes attempt to maximize their own utility. In such game, we correlate all the interfering nodes to be an interfering object and the receiving node to be the interfering object's virtual destination node. We then present an equilibrium solution for the noncooperative game using Stackelberg model, and we propose an iterative, distributed power control algorithm for WMNs. Also, we conduct numeric experiments to evaluate the system performance, our results show that the proposed algorithm can balance nodes to share the limited network resources and maximize total utility, and thus it is efficient and effective for solving the power control problem in WMNs.

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Marsh rabbit mortalities tie pythons to the precipitous decline of mammals in the Everglades

Proceedings of The Royal Society B Biological Sciences ◽

10.1098/rspb.2015.0120 ◽

2015 ◽

Vol 282 (1805) ◽

pp. 20150120 ◽

Cited By ~ 39

Author(s):

Robert A. McCleery ◽

Adia Sovie ◽

Robert N. Reed ◽

Mark W. Cunningham ◽

Margaret E. Hunter ◽

...

Keyword(s):

National Park ◽

Large Scale ◽

Ongoing Debate ◽

Faunal Communities ◽

Python Molurus ◽

Scale Experiment ◽

Precipitous Decline ◽

Python Molurus Bivittatus ◽

The Impact ◽

Ecological Functioning

To address the ongoing debate over the impact of invasive species on native terrestrial wildlife, we conducted a large-scale experiment to test the hypothesis that invasive Burmese pythons ( Python molurus bivittatus ) were a cause of the precipitous decline of mammals in Everglades National Park (ENP). Evidence linking pythons to mammal declines has been indirect and there are reasons to question whether pythons, or any predator, could have caused the precipitous declines seen across a range of mammalian functional groups. Experimentally manipulating marsh rabbits, we found that pythons accounted for 77% of rabbit mortalities within 11 months of their translocation to ENP and that python predation appeared to preclude the persistence of rabbit populations in ENP. On control sites, outside of the park, no rabbits were killed by pythons and 71% of attributable marsh rabbit mortalities were classified as mammal predations. Burmese pythons pose a serious threat to the faunal communities and ecological functioning of the Greater Everglades Ecosystem, which will probably spread as python populations expand their range.

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Large Scale predictive analytics for real-time energy management

2013 IEEE International Conference on Big Data ◽

10.1109/bigdata.2013.6691635 ◽

2013 ◽

Cited By ~ 13

Author(s):

Natasha Balac ◽

Tamara Sipes ◽

Nicole Wolter ◽

Kenneth Nunes ◽

Bob Sinkovits ◽

...

Keyword(s):

Real Time ◽

Energy Management ◽

Large Scale ◽

Predictive Analytics

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Energy management in sensor networks

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2011.0195 ◽

2012 ◽

Vol 370 (1958) ◽

pp. 52-67 ◽

Cited By ~ 10

Author(s):

John A. Stankovic ◽

Tian He

Keyword(s):

Energy Consumption ◽

Sensor Networks ◽

Energy Management ◽

Large Scale ◽

Energy Savings ◽

Time Synchronization ◽

Media Access Control ◽

Media Access ◽

Energy Aware ◽

Holistic View

This paper presents a holistic view of energy management in sensor networks. We first discuss hardware designs that support the life cycle of energy, namely: (i) energy harvesting, (ii) energy storage and (iii) energy consumption and control. Then, we discuss individual software designs that manage energy consumption in sensor networks. These energy-aware designs include media access control, routing, localization and time-synchronization. At the end of this paper, we present a case study of the VigilNet system to explain how to integrate various types of energy management techniques to achieve collaborative energy savings in a large-scale deployed military surveillance system.

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