Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks

Abstract

This paper presents Codecast, a many-to-many communication protocol for low-power sensor networks that provide high throughput and reliable data sharing from multiple sources to multiple destinations of a network. Codecast uses physical layer capture on concurrent transmissions for high spatial reuse and a network-assisted network coding for high throughput as the core techniques. Our extensive evaluation in two large-scale testbed deployments (Indriya and Flocklab) shows that Codecast provides up to 4x the throughput of Chaos and 1.8x the throughput of LWB for many-to-many data communication. Finally, we demonstrate the utility of Codecast through a distributed channel selection mechanism and a link state based routing protocol.