Journal Information
International Journal of Distributed Sensor Networks (IJDSN)
http://www.hindawi.com/journals/ijdsn/
Impact Factor:
0.906
Publisher:
Hindawi
ISSN:
1550-1329
Viewed:
4338
Tracked:
1

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Call For Papers
The International Journal of Distributed Sensor Networks focuses on applied research and applications of sensor networks. A large number of important applications depend on sensor networks interfacing with the real world. These applications include medical, military, manufacturing, transportation, safety and environmental planning systems. Many have been difficult to realize because of problems involved with inputting data from sensors directly in to automated systems. Sensor fusion in the context of distributed sensor networks has emerged as the method of choice for resolving these problems.

This journal also acts as a medium for exchanging ideas and thoughts about impacts of sensor networks research. More importantly the goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.

The topics of interest include but are not limited to:

Architecture, Algorithms and Complexity Issues
Sensor Network Tasking and Self-Organization
Information Fusion Methods and Architectures for Sensor Networks
Detection / Classification Methods
Distributed Sensor Networks - Networking / Caching Issues
Managing Resource Constraints
In-Network Query Processing and Data Storage
Learning Patterns from Sensor Sources
Localization and Synchronization in Sensor Networks
Mobility and Task Coordination
Cooperative Signal Algorithms for Sensor Networks
Performance Evaluation of Sensor Networks
Theoretical Bounds and Optimization of Sensor Networks
Underwater and Underground Sensor Networks
Applications in Biology, Manufacturing, Medical Science and Engineering
Last updated by Dou Sun in 2017-01-06
Special Issues
Special Issue on Fog Computing and Networking
Submission Date: 2017-03-30

Over the last decades, we have observed that computing services such as storage, data processing, and control have been pushed into the Cloud. The opportunity for unlimited computing in the cloud allows end users to access to ample information easily. We also have seen that mobile/sensing devices like smartphones and sensors have become powerful and pervasive, which has led to the emergence of new systems and applications. These systems and applications introduce new functional demands in computing and networking that the cloud alone cannot meet. Instead, local computing at a network edge is often necessary; for example, to process data in real time, create location-aware contexts from local sensors, and maximize the efficiency of last mile wireless communications. However, the cloud is too far from the devices to satisfy strict latency requirements and is too centralized to cope with heterogeneity and contextual diversity at a local area. It is also too costly to upload every minutia of data from individual sensors to the cloud. To overcome these limitations, portions of the computing capability of the cloud move down to the network edge and form a local computing environment, i.e. a fog. By distributing computing and networking services closer to where user data is generated, the fog best meets emerging demands. The fog presents a new architecture that takes processing to the data while the cloud takes data to the processing. Edge devices and mobile devices are inter-connected within a local fog network, and collaboratively carry out storage, data processing, networking, and control tasks. In a potential fog architecture, sensor networks will play a significant role in that sensors and actuators deployed in distributed environment will become key data generators, controllers for physical systems, and in-network computing platforms. The fog will have edge gateways that have more computing capability and higher intelligence than them in WSN. A sensor networking including sensors and actuators will be deeply connected to fog gateways and further to mobile devices directly and then makes extensive interactions with them. This will provide brand-new services that connect physical environment to cyber infrastructure. The fog will resolve many problems in the Internet of Things (IoT) and 5G mobile networks. For instance, fog services are capable of overcoming the bandwidth and cost constraints of long-haul communications; performing data fusion and streaming analytics in real time; managing a large volume of devices and cyber-physical interactions; coping with network reliability and resiliency; and securing untethered, resource-constrained end devices. However, many challenges still remain in fog computing and networking research - how to model a system architecture for the fog; how to deploy, arrange, and manage fog devices; how does the fog interact with the cloud and with user devices; how to manage physicallogical connectivity in the fog. This special issue is designed to attract original research articles as well as review papers that address key challenges in the fog computing and networking. Potential topics include, but are not limited to: - Fog architecture and models - Fog-cloud interaction - Fog-mobile device interaction - Networking and wireless communications - Distributed sensor networks in the fog - Data management and analytics - Mobility - Visualization - Security and privacy - Fog services and applications - Testbeds, prototypes, experiments
Last updated by Dou Sun in 2017-01-06
Special Issue on Recent Advances in Ubiquitous Localization and Context-Awareness using Mobile Sensors
Submission Date: 2017-04-03

Recent years have witnessed tremendous developments in sensor technology, enabling the ubiquitous monitoring of the physical environment as well as human behaviours. Modern smart devices (e.g., smartphones, smart watches, and smart glasses) have become an important part of our daily lives. Equipped with a number of different sensors (e.g., accelerometer, magnetometer, gyroscope, barometer, proximity, and light), these smart devices can be used not only for communication and entertainment, but also for sensing or recognizing people's context (such as location, activity). This context information can help to improve the quality of context-based services, e.g., improving the accuracy and reliability of pedestrian localization and navigation. However, it is still challenging to accurately sense the users' context due to the complexity of environments and human behaviours. The purpose of this special issue is to bring together the expertise of researchers and developers in order to showcase the state-of-the-art in research dealing with the challenges of ubiquitous localization and context awareness using wearable/mobile sensors. Authors are invited to submit high-quality technical papers, neither previously published nor currently submitted for consideration elsewhere. Research articles, review articles as well as communications are invited. All manuscripts will be peer-reviewed before publication.
Last updated by Dou Sun in 2017-01-06
Special Issue on Sensors and Smart Sensing for Big Data Analytics and Mobile Computing
Submission Date: 2017-04-10

Nowadays, sensors are able to gather data everywhere from businesses, infrastructures, our environment, and even ourselves. This enormous amount of information is producing a new ecosystem of business opportunities around its analysis, storage and accessibility. Sensors are increasingly being built into common objects, such as touch-sensitive elevator controls (tactile sensor) and lamps that are brightened or dimmed by touching the base, as well as an uncountable number of applications of which most people remain unaware. With developments in easy-to-use micro controller platforms and micromachinery, the use of sensors has expanded beyond the most traditional fields of temperature, pressure or flow measurement, for example, MARG sensors. Furthermore, analog sensors such as force-sensing resistors and potentiometers are still commonly used. Sensor technologies are very common nowadays and include fields such as manufacturing and machinery, airplanes and aerospace, cars, medicine, and robotics etc., as well as day-to-day life. The research on sensor technologies including sensor design, implementation, characterizations and application oriented technical development is advancing swiftly. This issue focuses on the novel sensing algorithms, emerging sensing paradigms, applications, architectural frameworks, advancement of sensing technologies and sensors as part of the systems, emerging in the areas of big data analytics and mobile computing. This issue focuses on sensors and smart sensing for mobile computing and big data methodologies which are being applied in various fields such as healthcare, smart grids, maintenance management, traffic, environment, etc., and/or designing innovative services, infrastructure and their applications to support big sensor data analytics.
Last updated by Dou Sun in 2017-01-06
Special Issue on Cloud Computing and Communication Protocols for IoT Applications
Submission Date: 2017-04-17

Most Internet-of-Things (IoT) devices have limited computing and storage capability and their sensing measurements or data will be delivered through weakly coordinated or uncoordinated wireless mediums. To overcome such limitations, the development of efficient cloud computing techniques and related distributed/decentralized communication protocols is of crucial importance. For loT applications, the goal of communication is typically for a fusion center to learn a function of the sensing measurements, rather than the raw measurements themselves. Examples include distributed averaging, alarm detection, environmental monitoring, etc. Therefore, computing and communication techniques specialized for such IoT applications should also be considered. Recent advances in IoT pose significant infrastructural challenges on multiple levels. In the public eye, the most visible aspects may be issues of computational complexity and data storage. However, of at least equal importance are the stringent communication bottlenecks at several levels in IoT process. In particular, to be successfully deployed for various IoT applications, computing and communication protocols might be distributed/decentralized so that they guarantee network scalability. This special issue aims to bring this perspective to IoT applications and focuses on the latest research, analysis, protocol design, and implementation for IoT applications.
Last updated by Dou Sun in 2017-01-06
Special Issue on Performance Evaluation and Benchmarking of Mobile Crowd Sensing
Submission Date: 2017-04-24

Progress in miniaturization and mass-scale production of sensors and communication devices is opening a new computation paradigm, namely Mobile Crowd Sensing (MCS). MCS aims at coordinating and activating the participation of communities of volunteers willing to use their pocket devices to harvest and contribute large quantities of data as they move during their daily activities. MCS systems can gather heterogeneous kinds of information such as sensor data, mobility traces, user surveys and personal feedbacks. This has the potential to reveal interesting aspects of human behavior and contribute to the delivery of a wide range of useful services in both urban and rural areas. However, as the field matures and new sensing and application opportunities emerge, MCS needs reproducible and repeatable test methods as well as common and standard metrics and evaluation methodologies that can be used to objectively quantify and compare the efficiency of different MCS implementations. These are critical prerequisites to furthering the success of the MCS paradigm, which will allow practitioners and researchers to more easily build on each other's work, avoid duplication of efforts and promote cross-fertilization between complementary R&D areas. To this purpose, this special issue invites researchers both from academia and industry to contribute with original research and review articles stimulating the adoption of common performance metrics that can be used to systematically evaluate the performance of different MCS systems at different levels.
Last updated by Dou Sun in 2017-01-06
Special Issue on Space Information Networks: Architectures, Technologies, and Applications
Submission Date: 2017-04-24

With the acceleration of global informatization in our society, particularly the rapid expansion of human activities, traditional terrestrial network infrastructures for sensing and communications can hardly satisfy the ever-growing social and economic requirements of some human activities; for example, in the areas of earth observation, emergency response to natural disasters, spaceflight telemetry, tracking and command, and safety/convenience support of air transportation, etc. The space information network (SIN) is an information network infrastructure based on integrated networking of space platforms (e.g., GEO/NGEO satellites, high-altitude platform stations) to support massive real-time data sensing, collection, transmission, processing and distribution, as well as to realize both global and localized tailor-made systematized information services. SIN has been envisioned to play a crucial role in future human social and economic activities. The SIN has developed rapidly since 2013, with large amounts of industrial capital invested in the fields of aviation and aerospace engineering. This has led to tremendous progress in key enabling technologies. However, there are still many unprecedented challenges and opportunities to overcome before the SIN can be fully realised, including network system architecture, real-time information sensing, on-orbit information processing, high-speed wireless transmission, storage, security and privacy protection, and new applications. This special issue seeks original contributions on SINs, sharing research and challenges in this area, and discussing new ideas, methods, theories, key enabling techniques and applications for SIN.
Last updated by Dou Sun in 2017-01-06
Special Issue on Services and Management in Edge Computing
Submission Date: 2017-05-08

Edge Computing is advancing the frontier of computing applications, data, and services beyond the centralized nodes to the logical extremes of a network edge for meeting the critical requirements of low latency, location awareness and mobility support. The edge of the network is often located just one wireless hop away from the associated end nodes, and it needs to leverage resources that may not always be able to continuously connect to a network such as laptops, smart phones, tablets and sensors. Edge Computing covers a wide range of technologies including wireless sensor networks, mobile data acquisition, cooperative distributed sensor networking and processing - classifiable as Local Cloud/ Fog computing, cloudlet , distributed data storage and retrieval, autonomic self-healing networks, remote cloud services, augmented reality, etc. Services are hosted at the edge of the network, and as a consequence, it reduces service latency, improves quality of service (QoS) and provides a superior experience for end users. Therefore, edge computing offers an ideal placement for low-latency tasks, enabling the infrastructure to support emerging applications that demand real-time or predictable latency. Moreover, due to the capability to support a wide geographical distribution, edge computing is well positioned for big data aggregation, analyzing and distilling the bandwidth-hungry sensor data from devices. Despite its advantages, realizing edge computing imposes many new challenges. For example, how to compose, deploy and manage distributed edge nodes, sensors and services, how to enable highly scalable and manageable edge computing, how the edge should interact with the cloud, and how to enable users to control their edge services provided by edge operators. Addressing these challenges necessitates rethinking of the key requirements and potential opportunities for services and their management in edge computing. This special issue aims to bring together researchers to publish state-of-the-art research findings of services and their management in edge computing. We are seeking new and unpublished work in the domain of services and management in edge computing. More specifically, this special issue will focus on recent developments in edge computing.
Last updated by Dou Sun in 2017-01-06
Special Issue on Big Data and Knowledge Extraction for Cyber-Physical Systems 2017
Submission Date: 2017-06-01

Cyber-Physical Systems (CPSs) are becoming part of our daily life. The emerging CPSs are expected to be robust and responsive for implementation in coordinated, distributed, and connected ways. Future CPSs will definitely surpass current systems on many aspects such as capability, adaptability, resiliency, safety, security, usability etc. Big Data are large, complex, and rapidly generated data sets that cannot be managed by traditional technologies. People are facing a variety of constantly flowing data streams coming from different sources with different formats. Innovative tools are highly desired to process these big data so that meaningful knowledge can be extracted from vast and diverse data streams. The improvements of people's living conditions and high efficiency of businesses primarily relies on how to make use of big data intelligently and correctly and how to retrieve meaningful knowledge from massive data. Then to seamlessly integrate the virtual world and the physical world becomes possible. For future CPSs, many stringent challenges await to be addressed. This special issue solicits high-quality contributions with consolidated and thoroughly evaluated research in the area of Big Data and knowledge extraction for CPSs that are worthy of archival publication in the journal. It is intended to i) provide a summary of research that advances knowledge acquisition and utilization from Big Data for CPSs and ii) serve as a comprehensive collection of the current state-of-the-art technologies within the context.
Last updated by Dou Sun in 2017-01-06
Special Issue on Opportunities for Device-to-Device (D2D) Communications in Wireless Sensor Networks
Submission Date: 2017-09-01

Device-to-Device (D2D) communications enable devices in proximity of each other to establish a direct link. In D2D communications, devices communicate with each other autonomously without any centralized control and collaborate to gather, share, and forward information in short-range networks such as WSNs (Wireless Sensor Networks), LTE, WiFi, or BLE (Bluetooth Low Energy). These devices may be the tiny and low-cost sensors, actuators, or RFID tags, which capture physical data and are capable of performing tasks. These devices may be mobile devices such as smartphones or tablets. D2D communications and networking are a promising concept to improve resource utilization and enhance quality of service (QoS) for both licensed and unlicensed spectrum. Moreover, D2D communications can be utilized for new types of services such as machine-to-machine (M2M) communication service or peer-to-peer (P2P) services. From the successful 2016 special issue - "Device-to-Device Communications in Wireless Sensor Networks", we need to follow-up on research advances for D2D communications and networking in WSNs. The goal of this new special issue is to report on the most up-to-date contributions in this area.
Last updated by Dou Sun in 2017-01-06
Special Issue on ICSD 2017 : 5th International Conference on Sustainable Development, 6 - 7 September 2017 Rome, Italy
Submission Date: 2017-09-06

European Center of Sustainable Development in collaboration with CIT University will organize the 5th ICSD 2017 Rome, Italy in the days:Wednesday 6 to Thursday 7 September,2017 The Conference theme is: "Creating a unified foundation for the Sustainable Development: research, practice and education". Read more: http://www.ecsdev.org/index.php/conference
Last updated by Diamantina Allushaj in 2017-01-17
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