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J. Sens. Actuator Netw., Volume 3, Issue 1 (March 2014), Pages 1-94

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Editorial

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Open AccessEditorial Acknowledgement to Reviewers of the Journal of Sensor and Actuator Networks in 2013
J. Sens. Actuator Netw. 2014, 3(1), 79-80; doi:10.3390/jsan3010079
Received: 24 February 2014 / Accepted: 24 February 2014 / Published: 24 February 2014
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Abstract The editors of the Journal of Sensor and Actuator Networks would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2013. [...] Full article

Research

Jump to: Editorial

Open AccessArticle Methods for Distributed Compressed Sensing
J. Sens. Actuator Netw. 2014, 3(1), 1-25; doi:10.3390/jsan3010001
Received: 15 October 2013 / Revised: 29 November 2013 / Accepted: 9 December 2013 / Published: 23 December 2013
Cited by 3 | PDF Full-text (360 KB) | HTML Full-text | XML Full-text
Abstract
Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements. In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or [...] Read more.
Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements. In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or the requirement for a fewer number of local measurements can be expected if the nodes cooperate. In this paper, we provide an overview of the current literature regarding distributed compressed sensing; in particular, we discuss aspects of network topologies, signal models and recovery algorithms. Full article
(This article belongs to the Special Issue Feature Papers)
Open AccessArticle Cooperative Control for Multiple Autonomous Vehicles Using Descriptor Functions
J. Sens. Actuator Netw. 2014, 3(1), 26-43; doi:10.3390/jsan3010026
Received: 24 October 2013 / Revised: 13 December 2013 / Accepted: 17 December 2013 / Published: 2 January 2014
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Abstract
The paper presents a novel methodology for the control management of a swarm of autonomous vehicles. The vehicles, or agents, may have different skills, and be employed for different missions. The methodology is based on the definition of descriptor functions that model [...] Read more.
The paper presents a novel methodology for the control management of a swarm of autonomous vehicles. The vehicles, or agents, may have different skills, and be employed for different missions. The methodology is based on the definition of descriptor functions that model the capabilities of the single agent and each task or mission. The swarm motion is controlled by minimizing a suitable norm of the error between agents’ descriptor functions and other descriptor functions which models the entire mission. The validity of the proposed technique is tested via numerical simulation, using different task assignment scenarios. Full article
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Open AccessArticle A Novel Map-Based Dead-Reckoning Algorithm for Indoor Localization
J. Sens. Actuator Netw. 2014, 3(1), 44-63; doi:10.3390/jsan3010044
Received: 26 November 2013 / Revised: 15 December 2013 / Accepted: 23 December 2013 / Published: 3 January 2014
Cited by 5 | PDF Full-text (1638 KB) | HTML Full-text | XML Full-text
Abstract
Step counting-based dead-reckoning has been widely accepted as a cheap and effective solution for indoor pedestrian tracking using a hand-held device equipped with motion sensors. To compensate for the accumulating error in a dead-reckoning tracking system, extra techniques are always fused together [...] Read more.
Step counting-based dead-reckoning has been widely accepted as a cheap and effective solution for indoor pedestrian tracking using a hand-held device equipped with motion sensors. To compensate for the accumulating error in a dead-reckoning tracking system, extra techniques are always fused together to form a hybrid system. In this paper, we first propose a map matching (MM) enhanced particle filter (PF) as a robust localization solution, in which MM utilizes the corridor information to calibrate the step direction estimation and PF is applied to filter out impossible locations. To overcome the dependency on manually input corridor information in the MM algorithm, as well as the computational complexity in combining two such algorithms, an improved PF is proposed. By better modelling of the location error, the improved PF calibrates the location estimation, as well as step direction estimation when the map information is available, while keeping the computational complexity the same as the original PF. Experimental results show that in a quite dense map constraint environment with corridors, the proposed methods have similar accuracy, but outperform the original PF in terms of accuracy. When only partial map constraints are applied to simulate a new testbed, the improved PF obtains the most robust and accurate results. Therefore, the improved PF is the recommended DR solution, which is adaptive to various indoor environments. Full article
Open AccessArticle SmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines
J. Sens. Actuator Netw. 2014, 3(1), 64-78; doi:10.3390/jsan3010064
Received: 18 December 2013 / Revised: 7 February 2014 / Accepted: 10 February 2014 / Published: 20 February 2014
Cited by 8 | PDF Full-text (2030 KB) | HTML Full-text | XML Full-text
Abstract
Asset monitoring, specifically infrastructure monitoring such as water distribution pipelines, is becoming increasingly critical for utility owners who face new challenges due to an aging network. In the UK alone, during the period of 2009–2010, approximately 3281 mega litres (106) [...] Read more.
Asset monitoring, specifically infrastructure monitoring such as water distribution pipelines, is becoming increasingly critical for utility owners who face new challenges due to an aging network. In the UK alone, during the period of 2009–2010, approximately 3281 mega litres (106) of water were wasted due to failure or leaks in water pipelines. Various techniques can be used for the monitoring of water distribution networks. This paper presents the design, development and testing of a smart wireless sensor network for leak detection in water pipelines, based on the measurement of relative indirect pressure changes in plastic pipes. Power consumption of the sensor nodes is minimised to 2.2 mW based on one measurement every 6 h in order to prolong the lifetime of the network and increase the sensor nodes’ compatibility with current levels of power available by energy harvesting methods and long life batteries. A novel pressure sensing method is investigated for its performance and capabilities by both laboratory and field trials. The sensors were capable of measuring pressure changes due to leaks. These pressure profiles can also be used to locate the leaks. Full article
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Open AccessArticle On the Effect of Security and Communication Factors in the Reliability of Wireless Sensor Networks
J. Sens. Actuator Netw. 2014, 3(1), 81-94; doi:10.3390/jsan3010081
Received: 31 December 2013 / Revised: 7 February 2014 / Accepted: 8 February 2014 / Published: 4 March 2014
PDF Full-text (224 KB) | HTML Full-text | XML Full-text
Abstract
The ensuring reliability of wireless sensor networks (WSN) is one of most important problems to be solved. In this article, the influence of the security and communication factors in the reliability of Wireless Sensor Networks was analyzed. Balancing security against performance in [...] Read more.
The ensuring reliability of wireless sensor networks (WSN) is one of most important problems to be solved. In this article, the influence of the security and communication factors in the reliability of Wireless Sensor Networks was analyzed. Balancing security against performance in WSN is another issue to be solved. These factors should be considered during security analysis of quality of protection of realized protocol. In the article, we analyze wireless sensor network where hierarchical topologies is implemented with high performance routing sensors that forward big amount of data. We present the experiment results which were performed by high-performance Imote2 sensor platform and TinyOS operating system. Full article

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