Journal ArticleDOI
Wireless sensor networks: a survey
TLDR
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.About:
This article is published in Computer Networks.The article was published on 2002-03-15. It has received 17936 citations till now. The article focuses on the topics: Key distribution in wireless sensor networks & Wireless sensor network.read more
Citations
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Proceedings ArticleDOI
Data dissemination with ring-based index for wireless sensor networks
TL;DR: The proposed index-based data dissemination scheme is based on the idea that sensing data are collected, processed and stored at the nodes close to the detecting nodes, and the location information of these storing nodes is pushed to some index nodes, which act as the rendezvous points for sinks and sources.
Journal ArticleDOI
Greedy Routing in Underwater Acoustic Sensor Networks: A Survey
TL;DR: Based on a need for location information, the existing greedy routing protocols are divided into two distinctive categories, namely, location-based and location-free protocols, which are compared with each other based on their features.
Journal ArticleDOI
A Low-Cost Sensor Buoy System for Monitoring Shallow Marine Environments
TL;DR: The system design is based on a number of fundamental requirements that set it apart from other recent proposals: low cost of implementation, the possibility of application in coastal shallow-water marine environments, suitable dimensions for deployment and stability of the sensor system in a shifting environment like the sea bed, and total autonomy of power supply and data recording.
Proceedings ArticleDOI
COSEN: A Chain Oriented Sensor Network for Efficient Data Collection
TL;DR: COSEN is efficient in the ways that it ensures maximal utilization of network energy, it makes the lifetime of the network longer, as well as it takes much lower time to complete a round.
Journal ArticleDOI
Bio-inspired ant colony optimization based clustering algorithm with mobile sinks for applications in consumer home automation networks
TL;DR: An Ant Colony Optimization (ACO) based clustering algorithm specifically with mobile sink support for home automation networks is proposed and significantly improves home network performance when using mobile sinks in terms of energy consumption and network lifetime as compared to other routing algorithms currently deployed forHome automation networks.
References
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Book
Wireless Communications: Principles and Practice
TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).
Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Proceedings ArticleDOI
Directed diffusion: a scalable and robust communication paradigm for sensor networks
TL;DR: This paper explores and evaluates the use of directed diffusion for a simple remote-surveillance sensor network and its implications for sensing, communication and computation.
Proceedings ArticleDOI
The Cricket location-support system
TL;DR: The randomized algorithm used by beacons to transmit information, the use of concurrent radio and ultrasonic signals to infer distance, the listener inference algorithms to overcome multipath and interference, and practical beacon configuration and positioning techniques that improve accuracy are described.