Wireless integrated network sensors

By G. Pottie, William J. Kaiser. Communications of the ACM, 2000

3,568 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/beeb0e10aa0a884506bfcff0068fefafe990d260

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Secure routing in wireless sensor networks: attacks and countermeasures (2003, background): “We propose security goals for routing in sensor networks, show how attacks against ad-hoc and peer-to-peer networks can be adapted into powerful attacks against sensor networks, introduce two classes of novel attacks against sensor networks––sinkholes and HELLO floods, and analyze the security of…”
Worst and best-case coverage in sensor networks (2005, background): “Sensor coverage, in general, answers the questions about the quality of service (surveillance) that can be provided by a particular sensor network.”
Bounding the lifetime of sensor networks via optimal role assignments (2002, methodology): “Node Composition and Energy Models Despite the many implementations [1], [14], [15], integrated wireless sensor nodes have the same overall composition illustrated in figure 2.”
Cooperative Filters and Control for Cooperative Exploration (2010, background): “wireless sensor networks (c.f. review articles [ 16 ], [17]).”
A survey of visual sensor network platforms (2012, methodology): “To illustrate the communication and computation energy dissipation terms we use the example presented in [38](1): processing with QCIF (176×144) resolution and 8bit/pixel coding would cost the energy equivalent of transmission of approximately 4,400 Kb and processing with CIF (352×288) resolution an”
Clock synchronization for wireless sensor networks: a survey (2005, methodology): “Pottie and Kaiser [55] have shown that the energy required to transmit 1 bit over 100 m, which is 3 joules, can be used to execute 3 million instructions.”
Directed diffusion: a scalable and robust communication paradigm for sensor networks (2000, background): “The WINS project has made signifi- cant progress in identifying feasible radio designs for low- power environmental sensing.”
Distributed Compressive Sensing (2009, background): “Two additional properties of DCS make it well-matched to distributed applications such as sensor networks and arrays [11, 12].”
Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet (2002, background): “These da ta flow patterns associate ZebraNet closely with the sensor networks subclass of mobile ad-hoc networks [7, 31, 8].”
An energy efficient hierarchical clustering algorithm for wireless sensor networks (2003, background): “The cost of transmitting a bit is higher than a computation [1] and hence it may be advantageous to organize the sensors into clusters.”
Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues (2002, background): “In recent years, all-wireless networks have attracted significant attention due to their potential applications in civil and military domains [17, 18, 11, 4].”
Modelling Data-Centric Routing in Wireless Sensor Networks (2002, background): “The hardware technology for these networks - low cost processors, miniature sensing and radio modules are here today, with further improvements in cost and capabilities expected within the next decade [4], [16], [19], [28], [29].”
Efficient location tracking using sensor networks (2003, background): “Progress in miniaturization has allowed researchers to build networked sensors, increasingly compact devices that combine the functionality of sensors, radios, and processors [1, 5, 8 ]. Their low cost and wireless communication capability make it feasible to deploy them in large numbers, and witho”