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Intelligent sensor

About: Intelligent sensor is a(n) research topic. Over the lifetime, 4931 publication(s) have been published within this topic receiving 97953 citation(s).
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Journal ArticleDOI
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.
Abstract: The advancement in wireless communications and electronics has enabled the development of low-cost sensor networks. The sensor networks can be used for various application areas (e.g., health, military, home). For different application areas, there are different technical issues that researchers are currently resolving. 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. This article also points out the open research issues and intends to spark new interests and developments in this field.

13,726 citations


Proceedings ArticleDOI
19 May 2003-
TL;DR: SPEED is a highly efficient and scalable protocol for sensor networks where the resources of each node are scarce, and specifically tailored to be a stateless, localized algorithm with minimal control overhead.
Abstract: In this paper, we present a real-time communication protocol for sensor networks, called SPEED. The protocol provides three types of real-time communication services, namely, real-time unicast, real-time area-multicast and real-time area-anycast. SPEED is specifically tailored to be a stateless, localized algorithm with minimal control overhead End-to-end soft real-time communication is achieved by maintaining a desired delivery speed across the sensor network through a novel combination of feedback control and non-deterministic geographic forwarding. SPEED is a highly efficient and scalable protocol for sensor networks where the resources of each node are scarce. Theoretical analysis, simulation experiments and a real implementation on Berkeley motes are provided to validate our claims.

1,336 citations


Journal ArticleDOI
01 Jul 2000-IEEE Computer
TL;DR: The authors present a configurable architecture that enables these opportunities to be efficiently realized in silicon and believe that this energy-conscious system design and implementation methodology will lead to radio nodes that are two orders of magnitude more efficient than existing solutions.
Abstract: Technology advances have made it conceivable to build and deploy dense wireless networks of heterogeneous nodes collecting and disseminating wide ranges of environmental data. Applications of such sensor and monitoring networks include smart homes equipped with security, identification, and personalization systems; intelligent assembly systems; warehouse inventory control; interactive learning toys; and disaster mitigation. The opportunities emerging from this technology give rise to new definitions of distributed computing and the user interface. Crucial to the success of these ubiquitous networks is the availability of small, lightweight, low-cost network elements, which the authors call PicoNodes. The authors present a configurable architecture that enables these opportunities to be efficiently realized in silicon. They believe that this energy-conscious system design and implementation methodology will lead to radio nodes that are two orders of magnitude more efficient than existing solutions.

1,133 citations


Proceedings ArticleDOI
07 Mar 2004-
TL;DR: It is shown that the performance of sensor networks can be substantially improved with the use of the proposed random key pre-distribution scheme, which exploits deployment knowledge and avoids unnecessary key assignments.
Abstract: To achieve security in wireless sensor networks, it is important to he able to encrypt messages sent among sensor nodes. Keys for encryption purposes must he agreed upon by communicating nodes. Due to resource constraints, achieving such key agreement in wireless sensor networks is nontrivial. Many key agreement schemes used in general networks, such as Diffie-Hellman and public-key based schemes, are not suitable for wireless sensor networks. Pre-distribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. Recently, a random key pre-distribution scheme and its improvements have been proposed. A common assumption made by these random key pre-distribution schemes is that no deployment knowledge is available. Noticing that in many practical scenarios, certain deployment knowledge may be available a priori, we propose a novel random key pre-distribution scheme that exploits deployment knowledge and avoids unnecessary key assignments. We show that the performance (including connectivity, memory usage, and network resilience against node capture) of sensor networks can he substantially improved with the use of our proposed scheme. The scheme and its detailed performance evaluation are presented in this paper.

997 citations


Journal ArticleDOI
TL;DR: A smart sensor query-processing architecture using database technology can facilitate deployment of sensor networks and discuss about query processing in sensor networks.
Abstract: Smart sensors are small wireless computing devices that sense information such as light and humidity at extremely high resolutions. A smart sensor query-processing architecture using database technology can facilitate deployment of sensor networks. Smart-sensor technology enables a broad range of ubiquitous computing applications. Their low cost, small size, and untethered nature lets them sense information at previously unobtainable resolutions. We discuss about query processing in sensor networks.

950 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20223
202195
202095
2019131
2018153
2017166

Top Attributes

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Topic's top 5 most impactful authors

Hideki Hashimoto

43 papers, 1K citations

Joo-Ho Lee

14 papers, 413 citations

Kazuyuki Morioka

13 papers, 332 citations

Eric Benoit

12 papers, 69 citations

Subhas Chandra Mukhopadhyay

12 papers, 263 citations