Energy-delay tradeoff analysis in embedded M2M networks with channel coding

Machine-to-Machine (M2M), an emerging communications paradigm, is a facilitator of data flows between machines used, e.g., in mission-critical applications. Focusing in this paper on embedded multihop M2M implementations with myopic routing, a prime design aim is to jointly minimize energy expenditure and the end-to-end delay whilst not jeopardizing the network's operational reliability. We thus evaluate the achievable energy-delay tradeoff in such embedded multihop wireless networks with focus on channel coding. Supported by analytical as well as numerical evaluation, we show that channel coding has a profound impact on the end-to-end performance of M2M systems. We also detail some viable design guidelines which quantify which channel coder to use under which operating conditions. Finally, we formulate the problem in more general shadowing conditions.