Author:

Abstract:

Wireless sensor networks consist in a collection of battery-powered sensors able to gather, process and send data. They are typically used to monitor various phenomenons, in a plethora of fields, from environmental studies to smart logistics. In order to reduce maintenance actions, and allow measurements in remote areas, the sensor network must be low-power and resilient to node failures. This motivates the use of distributed signal processing algorithms than can process data directly within the network, without sending it to an external device. This work focuses on the design of such algorithms that can process data in-network, with limited communication and computational capabilities.