Next Issue

E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Table of Contents

J. Sens. Actuator Netw., Volume 1, Issue 1 (June 2012), Pages 1-85

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Readerexternal link to open them.
View options order results:
result details:
Displaying articles 1-4
Export citation of selected articles as:

Editorial

Jump to: Research, Review

Open AccessEditorial Welcome to Journal of Sensor and Actuator Networks
J. Sens. Actuator Netw. 2012, 1(1), 1-2; doi:10.3390/jsan1010001
Received: 20 January 2012 / Accepted: 30 January 2012 / Published: 31 January 2012
PDF Full-text (130 KB) | HTML Full-text | XML Full-text
Abstract
Sensor and actuator networks have been the focus of a lot of research for quite a number of years now, and results in these fields had a tremendous influence on computer science as a whole. Take for example the fact that energy [...] Read more.
Sensor and actuator networks have been the focus of a lot of research for quite a number of years now, and results in these fields had a tremendous influence on computer science as a whole. Take for example the fact that energy efficiency questions have never played a major role before, and today, there are journals, conferences, and complete research programs on this important issue. In general, sensor and actuator networks are considered to be an important part of the Future Internet, be it in the Internet-of-Things community, in Smart-City discussions, or in the more general field of Real-World Internet. Therefore, even though we have already come a long way, there is still a lot to do in order to make sensor and actuator networks usable and useful tools for everyday life in all kinds of domains. This new journal wants to provide a forum for researchers in the field to present their ideas and results and to discuss with others in order to advance the state of the art. [...] Full article

Research

Jump to: Editorial, Review

Open AccessArticle A Discrete Wavelet Transform (DWT)-Based Energy-Efficient Selective Retransmission Mechanism for Wireless Image Sensor Networks
J. Sens. Actuator Netw. 2012, 1(1), 3-35; doi:10.3390/jsan1010003
Received: 8 December 2011 / Revised: 16 January 2012 / Accepted: 29 January 2012 / Published: 1 February 2012
Cited by 12 | PDF Full-text (729 KB) | HTML Full-text | XML Full-text
Abstract
Source nodes in wireless image sensor networks transmit much more information than traditional scalar sensor networks, thereby demanding more energy of intermediate relaying nodes and putting energy efficiency as a key design issue. Intermediate nodes are usually interconnected by error-prone links where [...] Read more.
Source nodes in wireless image sensor networks transmit much more information than traditional scalar sensor networks, thereby demanding more energy of intermediate relaying nodes and putting energy efficiency as a key design issue. Intermediate nodes are usually interconnected by error-prone links where bit-errors are common, potentially degrading the application monitoring quality. When reliability is assured by retransmission mechanisms, higher packet error rates do not affect the application quality but result in additional energy consumption due to packet retransmission, even though many monitoring applications can tolerate some loss in the quality of the received image. DWT coding can decompose an image in data subbands, each one with different relevancies for the reconstruction of the original image at the receiver side. We propose an energy-efficient selective hop-by-hop retransmission mechanism where the reliability level of each packet is a function of the relevance of the payload data, according to the resulting subbands and the number of times a 2D DWT is applied over the images captured by the sensors’ cameras. In so doing, some lost packets are not retransmitted, saving energy of intermediate nodes with low impact to the quality of the reconstructed images. In order to estimate the benefits of this tradeoff between energy consumption and image quality, we designed a comprehensive energy consumption model and applied it in extensive mathematic simulations, providing substantial information about the mean performance of the proposed approach when compared with a fully-reliable transmission mechanism. Full article
Open AccessArticle Localization in Wireless Sensor Networks and Anchor Placement
J. Sens. Actuator Netw. 2012, 1(1), 36-58; doi:10.3390/jsan1010036
Received: 27 April 2012 / Revised: 29 May 2012 / Accepted: 4 June 2012 / Published: 8 June 2012
Cited by 11 | PDF Full-text (7384 KB)
Abstract
Applications of wireless sensor network (WSN) often expect knowledge of the precise location of the nodes. Many different localization protocols have been proposed that allow nodes to derive their location rather than equipping them with dedicated localization hardware such as GPS receivers, [...] Read more.
Applications of wireless sensor network (WSN) often expect knowledge of the precise location of the nodes. Many different localization protocols have been proposed that allow nodes to derive their location rather than equipping them with dedicated localization hardware such as GPS receivers, which increases node costs. We provide a brief survey of the major approaches to software-based node localization in WSN. One class of localization protocols with good localization performance patches together relative-coordinate, local maps into a global-coordinate map. These protocols require some nodes that know their absolute coordinates, called anchor nodes. While many factors influence the node position errors, in this class of protocols, using Procrustes Analysis, the placement of the anchor nodes can significantly impact the error. Through simulation, using the Curvilinear Component Analysis (CCA-MAP) protocol as a representative protocol in this category, we show the impact of anchor node placement and propose a set of guidelines to ensure the best possible outcome, while using the smallest number of anchor nodes possible. Full article
(This article belongs to the Special Issue Feature Papers)

Review

Jump to: Editorial, Research

Open AccessReview Techniques and Challenges of Data Centric Storage Scheme in Wireless Sensor Network
J. Sens. Actuator Netw. 2012, 1(1), 59-85; doi:10.3390/jsan1010059
Received: 19 April 2012 / Revised: 28 May 2012 / Accepted: 4 June 2012 / Published: 12 June 2012
Cited by 10 | PDF Full-text (425 KB) | HTML Full-text | XML Full-text
Abstract
Storing, collecting and querying data across miniaturized battery powered Wireless Sensor Networks (WSN) is a key research focus today. Distributed Data-Centric Storage (DCS), an alternate to External Storage (ES) and Local Storage (LS), is thought to be a promising and efficient storage [...] Read more.
Storing, collecting and querying data across miniaturized battery powered Wireless Sensor Networks (WSN) is a key research focus today. Distributed Data-Centric Storage (DCS), an alternate to External Storage (ES) and Local Storage (LS), is thought to be a promising and efficient storage and search mechanism. There has been a growing interest in understanding and optimizing WSN DCS schemes in recent years, where the range query mechanism, similarity search, load balancing, multi-dimensional data search, as well as limited and constrained resources have driven this line of research. In this paper, an extensive state-of-the-art study is provided including the prime WSN DCS schemes, challenges that inspired these schemes, as well as drawbacks and shortcomings of existing solutions. In contrast to previous surveys that briefly discuss the contribution of a few WSN DCS mechanisms, we provide a thematic taxonomy in which schemes are classified according to the problems dealt with including range query, similarity search, data aggregation, sensor network field non-uniformity, multi-replication, load balancing and routing algorithm. Full article

Journal Contact

MDPI AG
JSAN Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
jsan@mdpi.com
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
Editorial Board
Contact Details Submit to JSAN
Back to Top