Wireless Sensor Networks: Signal Processing and Communications

Dear Colleagues,

Wireless sensor networks (WSNs) are considered one of the most important data sources of Internet of Things (IoT) applications. Consisting of tens, hundreds or even thousands of devices, WSNs can collect data on the ground and in real time from a wide range of physical and environmental variables. However, this massive data generation is pushing network capacity to its limits, and the need to support advanced processing at the periphery of the network instead of at the cloud, or elsewhere along the edge-to-cloud path, is becoming more and more relevant. Analyzing and managing data closer to where they are generated, rather than routing them to a data center, reduces network load, makes more efficient use of available energy and satisfies the requirements of ultra-low latency applications, such as from Industry 4.0 or autonomous vehicles. On the other hand, several new security and privacy challenges arise in edge/fog computing architectures, because of their higher vulnerability to device theft and/or manipulation, identity theft, and data eavesdropping. This Special Issue calls for high-quality, innovative, and original works that elaborate on the use of novel edge/fog computing architectures to support the effective use of WSNs in novel IoT applications.

Dr. Toni Adame Vázquez
Guest Editor

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