Journal of Sensor and Actuator Networks

7701 KiB

Open AccessArticle

Dealing with Data Quality in Smart Home Environments—Lessons Learned from a Smart Grid Pilot

by Alessandro Leonardi, Holger Ziekow, Martin Strohbach and Panayotis Kikiras

J. Sens. Actuator Netw. 2016, 5(1), 5; https://doi.org/10.3390/jsan5010005 - 03 Mar 2016

Cited by 8 | Viewed by 9286

Over the last years, we have witnessed increasing interconnection between the physical and digital world. The so called Internet of Things (IoT) is becoming more and more a reality in application domains like manufacturing, mobile computing, transportation, and many others. However, despite promising [...] Read more.

Over the last years, we have witnessed increasing interconnection between the physical and digital world. The so called Internet of Things (IoT) is becoming more and more a reality in application domains like manufacturing, mobile computing, transportation, and many others. However, despite promising huge potential, the application domain of smart homes is still at its infancy and lags behind other fields of IoT. A deeper understanding of this type of techno-human system is required to make this vision a reality. In this paper, we report findings from a three year pilot that sheds light on the challenges of leveraging IoT technology in the home environment. In particular, we provide details on data quality issues in real-world deployments. That is, we analyze application level data for errors in measurements as well as issues in the end-to-end communication. Understanding what data errors to expect is crucial for understanding the smart building domain and paramount for building successful applications. With our work, we provide insights in a domain of IoT that has tremendous growth potential and help researchers as well as practitioners to better account for the data characteristics of smart homes. Full article

(This article belongs to the Special Issue Techno-Human Collective Systems for Smart Cities Innovation)

► Show Figures

Figure 1

1826 KiB

Open AccessArticle

A Cooja-Based Tool for Coverage and Lifetime Evaluation in an In-Building Sensor Network

by Lanny Sitanayah, Cormac J. Sreenan and Szymon Fedor

J. Sens. Actuator Netw. 2016, 5(1), 4; https://doi.org/10.3390/jsan5010004 - 19 Feb 2016

Cited by 14 | Viewed by 9019

Abstract

Contiki’s Cooja is a very popular wireless sensor network (WSN) simulator, but it lacks support for modelling sensing coverage, focusing instead on network connectivity and protocol performance. However, in practice, it is the ability of a sensor network to provide a satisfactory level [...] Read more.

Contiki’s Cooja is a very popular wireless sensor network (WSN) simulator, but it lacks support for modelling sensing coverage, focusing instead on network connectivity and protocol performance. However, in practice, it is the ability of a sensor network to provide a satisfactory level of coverage that defines its ultimate utility for end-users. We introduce WSN-Maintain, a Cooja-based tool for coverage and network lifetime evaluation in an in-building WSN. To extend the network lifetime, but still maintain the required quality of coverage, the tool finds coverage redundant nodes, puts them to sleep and automatically turns them on when active nodes fail and coverage quality decreases. WSN-Maintain together with Cooja allow us to evaluate different approaches to maintain coverage. As use cases to the tool, we implement two redundant node algorithms: greedy-maintain, a centralised algorithm, and local-maintain, a localised algorithm to configure the initial network and to turn on redundant nodes. Using data from five real deployments, we show that our tool with simple redundant node algorithms and reading correlation can improve energy efficiency by putting more nodes to sleep. Full article

► Show Figures

Graphical abstract

638 KiB

Open AccessFeature PaperReview

Social Internet of Vehicles for Smart Cities

by Leandros A. Maglaras, Ali H. Al-Bayatti, Ying He, Isabel Wagner and Helge Janicke

J. Sens. Actuator Netw. 2016, 5(1), 3; https://doi.org/10.3390/jsan5010003 - 06 Feb 2016

Cited by 108 | Viewed by 17004

Abstract

Digital devices are becoming increasingly ubiquitous and interconnected. Their evolution to intelligent parts of a digital ecosystem creates novel applications with so far unresolved security issues. A particular example is a vehicle. As vehicles evolve from simple means of transportation to smart entities [...] Read more.

Digital devices are becoming increasingly ubiquitous and interconnected. Their evolution to intelligent parts of a digital ecosystem creates novel applications with so far unresolved security issues. A particular example is a vehicle. As vehicles evolve from simple means of transportation to smart entities with new sensing and communication capabilities, they become active members of a smart city. The Internet of Vehicles (IoV) consists of vehicles that communicate with each other and with public networks through V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure) and V2P (vehicle-to-pedestrian) interactions, which enables both the collection and the real-time sharing of critical information about the condition on the road network. The Social Internet of Things (SIoT) introduces social relationships among objects, creating a social network where the participants are not humans, but intelligent objects. In this article, we explore the concept of the Social Internet of Vehicles (SIoV), a network that enables social interactions both among vehicles and among drivers. We discuss technologies and components of the SIoV, possible applications and issues of security, privacy and trust that are likely to arise. Full article

(This article belongs to the Special Issue Techno-Human Collective Systems for Smart Cities Innovation)

► Show Figures

Figure 1

8647 KiB

Open AccessArticle

Enhanced Distributed Dynamic Skyline Query for Wireless Sensor Networks

by Khandakar Ahmed, Nazmus S. Nafi and Mark A. Gregory

J. Sens. Actuator Netw. 2016, 5(1), 2; https://doi.org/10.3390/jsan5010002 - 03 Feb 2016

Cited by 10 | Viewed by 7051

Abstract

Dynamic skyline query is one of the most popular and significant variants of skyline query in the field of multi-criteria decision-making. However, designing a distributed dynamic skyline query possesses greater challenge, especially for the distributed data centric storage within wireless sensor networks (WSNs). [...] Read more.

Dynamic skyline query is one of the most popular and significant variants of skyline query in the field of multi-criteria decision-making. However, designing a distributed dynamic skyline query possesses greater challenge, especially for the distributed data centric storage within wireless sensor networks (WSNs). In this paper, a novel Enhanced Distributed Dynamic Skyline (EDDS) approach is proposed and implemented in Disk Based Data Centric Storage (DBDCS) architecture. DBDCS is an adaptation of magnetic disk storage platter consisting tracks and sectors. In DBDCS, the disc track and sector analogy is used to map data locations. A distance based indexing method is used for storing and querying multi-dimensional similar data. EDDS applies a threshold based hierarchical approach, which uses temporal correlation among sectors and sector segments to calculate a dynamic skyline. The efficiency and effectiveness of EDDS has been evaluated in terms of latency, energy consumption and accuracy through a simulation model developed in Castalia. Full article

► Show Figures