In this talk, we introduce an application of epidemic model in developing a routing protocol in wireless ad-hoc networks. Wireless ad-hoc network is a decentralized type of temporary machine-to-machine connection that is spontaneous and does not depend on any fixed infrastructure and centralized administration. We adopt a modified stochastic branching process, that is often used to describe the early stage of an infectious disease outbreak, to describe and control the local transmission among sensors in wireless ad-hoc network. As unmanned aerial vehicles (UAVs), also called drones, have recently become more accessible and widely utilized in military and civilian domains such as surveillance, search and detection missions, traffic monitoring, infrastructure inspection, remote filming, product delivery, to name a few. The communication between these UAVs become possible and materialized through Flying Ad-hoc Networks (FANETs). However, due to the high mobility of UAVs that may cause different types of transmission interference, it is vital to design robust routing protocols for FANETs. We discuss our proposed multicast routing method based on a modified stochastic branching process.
Epidemic Model-based Routing Protocol in Wireless Ad-hoc Networks
Hyunsun Lee, University of Massachusetts Amherst
2022 AWM Research Symposium