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Journal ArticleDOI

Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey

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TLDR
This article defines WSNs with MEs and provides a comprehensive taxonomy of their architectures, based on the role of the MEs, and provides an extensive survey of the related literature.
Abstract
Wireless sensor networks (WSNs) have emerged as an effective solution for a wide range of applications. Most of the traditional WSN architectures consist of static nodes which are densely deployed over a sensing area. Recently, several WSN architectures based on mobile elements (MEs) have been proposed. Most of them exploit mobility to address the problem of data collection in WSNs. In this article we first define WSNs with MEs and provide a comprehensive taxonomy of their architectures, based on the role of the MEs. Then we present an overview of the data collection process in such a scenario, and identify the corresponding issues and challenges. On the basis of these issues, we provide an extensive survey of the related literature. Finally, we compare the underlying approaches and solutions, with hints to open problems and future research directions.

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Citations
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Proceedings ArticleDOI

A multi-level method for minimizing data gathering latency in wireless sensor networks using mobile elements

TL;DR: This paper focuses on minimizing packet delay for given number of MEs to achieve the minimum packet delay, and the interior-point algorithm is used to obtain the optimal solution for optimization problem.
Proceedings ArticleDOI

Cluster based approach to minimize delay in energy aware routing for ieee 802.11s Wireless Mesh Networks under mobility conditions

TL;DR: Mathematical model of the proposed model shows that proposed model minimizes delay compared to the existing there by improving network efficiency.

Distributed Coding Schemes for Continuous Data Collection in Wireless Sensor Networks

Ye Xiucai
TL;DR: In this article, a distributed separate coding scheme for m latest data segment collection (DSC-mLDC) was proposed for continuous data collection in WSNs with a mobile base station (mBS).
Journal ArticleDOI

Msct: an efficient data collection heuristic for wireless sensor networks with limited sensor memory capacity

TL;DR: A method is proposed to generate mobile sink tours, such that the number of overflows and the amount of lost data are minimized, and the overhead stemmed from the information exchange of these requirements are avoided.
References
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Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
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Pattern Recognition and Machine Learning (Information Science and Statistics)

TL;DR: Looking for competent reading resources?
Journal ArticleDOI

Reinforcement learning: a survey

TL;DR: Central issues of reinforcement learning are discussed, including trading off exploration and exploitation, establishing the foundations of the field via Markov decision theory, learning from delayed reinforcement, constructing empirical models to accelerate learning, making use of generalization and hierarchy, and coping with hidden state.
Posted Content

Reinforcement Learning: A Survey

TL;DR: A survey of reinforcement learning from a computer science perspective can be found in this article, where the authors discuss the central issues of RL, including trading off exploration and exploitation, establishing the foundations of RL via Markov decision theory, learning from delayed reinforcement, constructing empirical models to accelerate learning, making use of generalization and hierarchy, and coping with hidden state.

Optimized Link State Routing Protocol (OLSR)

TL;DR: The Optimized Link State Routing protocol is an optimization of the classical link state algorithm tailored to the requirements of a mobile wireless LAN and provides optimal routes (in terms of number of hops).
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