Fault-Tolerant Remote Sensing Data Dissemination Protocols For Climate Change And Sustainability

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Keywords: distributed computing, dissemination protocols, swarm intelligence, global change, remote sensing, fault tolerance, intermittent computing. Abstract. Collecting environmental remote sensing data is key to quantifying and better understanding the impacts of global change. Collecting. data in remote ecosystems such as mangrove estuaries, rainforests, deep-water habitats and river flowstreams requires high coverage. and spatiotemporal precision. While satellite systems enable high coverage, they lack precise spatiotemporal data collection. Swarms of. drones have emerged as a promising way to improve the precision of data collection. However, designing drone swarms as fault-. tolerant remote sensing platforms remains challenging. This doctoral project addresses a key research issue for these platforms: fault-. tolerant data dissemination. The project will investigate and propose mission-oriented dissemination techniques to enable adaptive. sensing data collection ranging from low-latency, fast data collection to partition-tolerant, delay-tolerant remote sensing applications. Context and proposed research. Effective environmental data collection and dissemination in drone swarms relies heavily on distributed synchronisation mechanisms that allow nodes to exchange state, maintain a consistent view of shared data, and support collective decision making. This requirement is partic