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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 multi-hop 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. The authors thus evaluate the achievable energy-delay trade-off in such embedded multi-hop wireless networks with focus on channel coding. Supported by analytical as well as numerical evaluation, they show that channel coding has a profound impact on the end-to-end performance of M2M systems.
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