Journal ArticleDOI
Sensor networks: an overview
TLDR
A sensor network can provide access to information anytime, anywhere by collecting, processing, analyzing and disseminating data, and actively participates in creating a smart environment.Abstract:
Advances in hardware and wireless network technologies have created low-cost, low-power, multifunctional miniature sensor devices. These devices make up hundreds or thousands of ad hoc tiny sensor nodes spread across a geographical area. These sensor nodes collaborate among themselves to establish a sensing network. A sensor network can provide access to information anytime, anywhere by collecting, processing, analyzing and disseminating data. Thus, the network actively participates in creating a smart environment.read more
Citations
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Proceedings ArticleDOI
Target tracking with packet delays and losses - QoI amid latencies and missing data
TL;DR: Bayesian information of the posterior distribution of target locations is used to quantify the quality of target tracking and investigates how network quality and measurement quality affect the value of Bayesian information.
Proceedings ArticleDOI
An Energy Sorting Protocol with Reduced Energy and Latency for Wireless Sensor Networks
A. Allirani,M. Suganthi +1 more
TL;DR: This paper proposes an Energy Sorting Protocol (ESP) architecture, which employs clustering, and illustrated that this algorithm also minimizes the energy and latency for cluster formation, in order to minimize overhead to the protocol.
Proceedings ArticleDOI
An energy-efficient decentralised communication protocol for a network of uniformly distributed sensors polled by a wireless transceiver
TL;DR: In this paper a network of sensors uniformly and randomly distributed over a plane large enough to be considered infinite is considered and the author formalises a particular problem, where a supervisor wants to collect the sensor data from a specific region around him/her.
Proceedings ArticleDOI
Energy-efficient WSN infrastructure
K. Beydoun,Violeta Felea +1 more
TL;DR: A new approach for organizing large sensor networks into zones, based on the number of hops, enables a hierarchical network view, with the purpose of offering efficient routing protocols based on zone partitioning.
Journal ArticleDOI
Connectivity and coverage constrained wireless sensor nodes deployment using steepest descent and genetic algorithms
TL;DR: In this paper , the authors investigated node deployment for the challenges of target coverage, area coverage, and connectivity over randomly distributed homogeneous and heterogeneous WSNs, and suggested a new method in both centralized and distributed modes which (i) covers all targets by the required number of sensors, (ii) provides maximum area coverage and connectivity, and (iii) manages sensors' movement from the initial locations to the final ones.
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.
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
Next century challenges: scalable coordination in sensor networks
TL;DR: This paper believes that localized algorithms (in which simple local node behavior achieves a desired global objective) may be necessary for sensor network coordination.
Proceedings ArticleDOI
Adaptive protocols for information dissemination in wireless sensor networks
TL;DR: It is found that the SPIN protocols can deliver 60% more data for a given amount of energy than conventional approaches, and that, in terms of dissemination rate and energy usage, the SPlN protocols perform close to the theoretical optimum.
Proceedings ArticleDOI
Instrumenting the world with wireless sensor networks
TL;DR: This work identifies opportunities and challenges for distributed signal processing in networks of these sensing elements and investigates some of the architectural challenges posed by systems that are massively distributed, physically-coupled, wirelessly networked, and energy limited.