Open Access
Networked Robots: Flying Robot Navigation using a Sensor Net.
Peter Corke,Ronald Peterson,Daniela Rus +2 more
- pp 234-243
TLDR
In this article, the application of a sensor network to navigate a flying robot is introduced. But the robot itself is an integral part of the localization process which establishes the positions of sensors which are not known a priori.Citations
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Book ChapterDOI
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
TL;DR: This chapter reviews the theoretical results of MARL algorithms mainly within two representative frameworks, Markov/stochastic games and extensive-form games, in accordance with the types of tasks they address, i.e., fully cooperative, fully competitive, and a mix of the two.
Dissertation
The cricket indoor location system
TL;DR: This dissertation presents beacon interference avoidance and detection algorithms, as well as outlier rejection algorithms to prevent and filter out outlier distance estimates caused by uncoordinated beacon transmissions.
Journal ArticleDOI
Environmental Wireless Sensor Networks
TL;DR: In this article, the authors present their views as to why this field has progressed less quickly than many envisaged it would over a decade ago, and they use real examples taken from their own work in this field to illustrate the technological difficulties and challenges that are entailed in meeting end-user requirements for information gathering systems.
Proceedings ArticleDOI
Mobile-assisted localization in wireless sensor networks
TL;DR: MAL, a mobile-assisted localization method which employs a mobile user to assist in measuring distances between node pairs until these distance constraints form a "globally rigid'* structure that guarantees a unique localization, is described.
Proceedings ArticleDOI
Path Planning of Mobile Landmarks for Localization inWireless Sensor Networks
TL;DR: The localization error of three different trajectories for the mobile landmark is studied and the tradeoffs between the trajectory resolution and the localization accuracy in the presence of 2-hop localization, in which sensors that have already obtained an estimate of their positions help to localize other sensors.
References
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Proceedings ArticleDOI
GPSR: greedy perimeter stateless routing for wireless networks
Brad Karp,Hsiang-Tsung Kung +1 more
TL;DR: Greedy Perimeter Stateless Routing is presented, a novel routing protocol for wireless datagram networks that uses the positions of routers and a packet's destination to make packet forwarding decisions and its scalability on densely deployed wireless networks is demonstrated.
Journal ArticleDOI
A review of current routing protocols for ad hoc mobile wireless networks
E.M. Royer,Chai-Keong Toh +1 more
TL;DR: Routing protocols for ad hoc networks are examined by providing an overview of eight different protocols by presenting their characteristics and functionality, and then a comparison and discussion of their respective merits and drawbacks are provided.
Journal ArticleDOI
System architecture directions for networked sensors
TL;DR: Key requirements are identified, a small device is developed that is representative of the class, a tiny event-driven operating system is designed, and it is shown that it provides support for efficient modularity and concurrency-intensive operation.
Journal ArticleDOI
Wireless integrated network sensors
TL;DR: The WINS network represents a new monitoring and control capability for applications in such industries as transportation, manufacturing, health care, environmental oversight, and safety and security, and opportunities depend on development of a scalable, low-cost, sensor-network architecture.
Greedy Perimeter Stateless Routing for Wireless Networks
TL;DR: Greedy Perimeter Stateless Routing is presented, a novel routing protocol for wireless datagram networks that uses the positions of routers and a packet’s destination to make packet forwarding decisions and its scalability on densely deployed wireless networks is demonstrated.