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Journal ArticleDOI

An asynchronous scheduled MAC protocol for wireless sensor networks

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TLDR
An energy efficient MAC protocol for WSNs is presented that avoids overhearing and reduces contention and delay by asynchronously scheduling the wakeup time of neighboring nodes and an energy consumption analysis for multi-hop networks is provided.
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This article is published in Computer Networks.The article was published on 2013-01-01. It has received 72 citations till now. The article focuses on the topics: Wireless sensor network & Efficient energy use.

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Citations
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Journal ArticleDOI

Indoor Positioning Technologies Without Offline Fingerprinting Map: A Survey

TL;DR: This paper reviews the indoor positioning technologies that do not require the construction of offline fingerprint maps, and categorizes them into simultaneous localization and mapping; inter/extrapolation; and crowdsourcing-based technologies, and describes their algorithms and characteristics, including advantages and disadvantages.
Journal ArticleDOI

Low energy operation in WSNs: A survey of preamble sampling MAC protocols

TL;DR: The aim of this work is to give a detailed overview and classification of the most relevant preamble sampling MAC protocols, being motivated by the extremely large number of MAC protocols designed for WSNs in recent years.
Journal ArticleDOI

A Self-Adaptive Sleep/Wake-Up Scheduling Approach for Wireless Sensor Networks

TL;DR: The proposed approach, based on the reinforcement learning technique, enables each node to autonomously decide its own operation mode (sleep, listen, or transmission) in each time slot in a decentralized manner.
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A Comprehensive Study of IoT and WSN MAC Protocols: Research Issues, Challenges and Opportunities

TL;DR: The essential properties of MAC protocols, the MAC for IoT and the common causes of energy consumptions are discussed and several protocols under each category are discussed in depth, emphasizing their strengths and weaknesses, and giving a detailed comparison ofMAC protocols.
Journal ArticleDOI

Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical Analysis

TL;DR: A comprehensive survey on task scheduling algorithms for the emerging class of energy harvesting-based sensors (i.e., energy positive sensors) to achieve the sustainable operation of IoT and outlines future research directions toward the implementation of autonomous and self-powered IoT.
References
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Journal ArticleDOI

A survey on sensor networks

TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
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.
Proceedings ArticleDOI

Versatile low power media access for wireless sensor networks

TL;DR: B-MAC's flexibility results in better packet delivery rates, throughput, latency, and energy consumption than S-MAC, and the need for flexible protocols to effectively realize energy efficient sensor network applications is illustrated.
Proceedings ArticleDOI

An adaptive energy-efficient MAC protocol for wireless sensor networks

TL;DR: T-MAC, a contention-based Medium Access Control protocol for wireless sensor networks, introduces an adaptive duty cycle in a novel way: by dynamically ending the active part of it to handle load variations in time and location.
Journal ArticleDOI

Medium access control with coordinated adaptive sleeping for wireless sensor networks

TL;DR: This paper proposes S-MAC, a medium access control (MAC) protocol designed for wireless sensor networks that enables low-duty-cycle operation in a multihop network and reveals fundamental tradeoffs on energy, latency and throughput.
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