Journal Information
International Journal of Distributed Sensor Networks (IJDSN)
Impact Factor:

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 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:
Last updated by Diamantina Allushaj in 2017-01-17
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