Wireless sensor networks: a survey

By Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, Erdal Cayirci. 2002

18,349 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Multi-Agent Framework for Packet Routing in Wireless Sensor Networks (2015, background): “, [40,41], can be used to handle this problem, it is still sometimes difficult for each node to have a global unique ID,”
The Internet of Things for Health Care: A Comprehensive Survey (2015, background): “The interested reader is referred to [172] and [173] for a better understanding of layer-wise issues.”
Wireless Sensor Networks: a Survey on Environmental Monitoring (2011, background): “Self-organizing, self-optimizing and fault-tolerant are the main characteristics of this type of network [2].”
Distributed Sparse Linear Regression (2010, background): “Distributed linear regression problems commonly arise with wireless sensor networks (WSNs), where data are inherently scattered across a large geographical area [1], [24].”
Homogeneous vs heterogeneous clustered sensor networks: a comparative study (2004, background): “Wireless sensor networks have been envisioned to have a wide range of applications in both military as well as civilian domains [1].”
Recent and Emerging Topics in Wireless Industrial Communications: A Selection (2008, background): “Wireless sensor networks (WSN) [55], [56], [30], [57], [58], [59], [60] consist of a large number of small, energy- and resource-constrained sensor nodes.”
Challenges for efficient communication in underwater acoustic sensor networks (2004, background): “In case of multi-hop paths, as in terrestrial sensor networks [5], the data produced by a source sensor is relayed by intermediate sensors until it reaches the uw-sink.”
Wireless Technology in Industrial Networks (2005, background): “Several mechanisms to conserve energy in protocols and applications have been developed in the context of wireless (sensor) networks [28]–[30].”
Enabling Technologies for Green Internet of Things (2017, methodology): “Multihopping is a common technique to save energy and overcome the scalability issue [123]–[125].”
Clock synchronization for wireless sensor networks: a survey (2005, background): “In wireless sensor networks, the basic operation is data fusion , whereby data from each sensor is agglomerated to form a single meaningful result [17,44,71,74,76–78].”
MacroBase: Prioritizing Attention in Fast Data (2016, methodology): “care wearables) generate increasing data volumes. While many have predicted similar shifts in the past, including visions of ubiquitous computing [48], smart dust [47] and large-scale sensor networks [6], IoT is widely anticipated to ﬁnally become mainstream, with tens of billions of dollars in rece”
The secrecy of compressed sensing measurements (2008, background): “[8] state that power consumption in sensor network nodes is a critical performance issue in many sensor network applications.”
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks (2007, background): “INTRODUCTION Sensor networks have become a hot research topic in recent years [1], [2], [3].”
Real-time forest fire detection with wireless sensor networks (2005, background): “Sensor networks, usually composed of a few sinks and a large quantity of inexpensive and small sensor nodes, have been deployed in a variety of applications [5] such as habitat monitoring [14], forest fire detection, etc.”
WiseMAC: An Ultra Low Power MAC Protocol for Multi-hop Wireless Sensor Networks (2004, background): “A wireless sensor network [1] is composed of numerous nodes distributed over an area to collect information.”
Human Interaction With Robot Swarms: A Survey (2016, background): “Part of this is a technical challenge, addressed in the study of sensor networks [79], [80] and mobile adhoc networks [81], [82].”
Maximum Likelihood Decision Fusion for Weapon Classification in Wireless Acoustic Sensor Networks (2017, background): “In non-uniform ad-hoc WASNs with different devices from different manufacturers, or without a good communication layer management, synchronization of the sampling rates may be hard (or even impossible), and the resulting signal drift must then be taken into account by the signal processing algorithm”
Power scheduling of universal decentralized estimation in sensor networks (2006, background): “Various energy-efficient algorithms have been proposed for network coverage [7], data gathering [8], and protocols of medium access control [9] and routing [10] (see also the survey paper [1] and the references therein).”