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10-4 Industrial Communication Systems<br />

Figure 10.3 compares different energy sources for ultralow-power devices from the viewpoint of<br />

their energy density, which defines the amount of energy that can be obtained from an element of a<br />

comparable size of one cubic or square (for flat elements) centimeter. The displayed energy density<br />

presents averaged values for the first year of operation based on published results. The energy capacity<br />

of batteries and fuel cells falls with the consumption of resources. The comparison shows that the<br />

energy densities of batteries and energy harvesting have the same dimension, implying that energyharvesting<br />

modules are difficult to miniaturize further. This emphasizes the necessity for designing<br />

ultralow-power wireless devices that minimize energy consumption of such modules.<br />

10.3 Communication Protocol Approaches<br />

Energy efficiency is reached by turning hardware parts off or to a sleep mode with minimal energy consumption<br />

as often as possible. Therefore, nodes are unavailable for processing and <strong>communication</strong> tasks<br />

for most of their lifetime, which requires specially designed <strong>communication</strong> protocols and applications.<br />

This principle is commonly known as duty-cycling, while the duty-cycle is defined as the fraction of time<br />

the node is not in sleep mode. The duty-cycle should be as low as possible for ultralow-power nodes.<br />

Nevertheless, certain <strong>communication</strong> and application performance parameters need to be assured like<br />

transmission delay or sampling accuracy. Hence, <strong>communication</strong> and application layer requirements<br />

and approaches need to be harmonized to efficiently use wake-ups.<br />

Communication aspects such as medium access control (MAC), routing, and topology control have<br />

strong influence on the duty-cycle and should be selected adequately. Figure 10.4 illustrates three example<br />

scenarios that result in adequate combinations of approaches to be discussed in the following paragraphs.<br />

The following design questions are relevant: Does the network consist of a fixed deployment of<br />

nodes or mobile nodes? How large is the area to cover? Is redundancy needed for functional safety? Is<br />

the network used only for data gathering or additionally for bidirectional <strong>communication</strong> (like decentralized<br />

control with actuators)?<br />

For a fixed deployment covering a small area, the simplest and most energy-efficient solution is a<br />

single-hop star architecture with a hub or coordinator that has a wired energy supply and is always on.<br />

This permits the usage of simple CSMA protocols for the sensor nodes that can wake-up at any time<br />

in order to perform their task, wait until the <strong>communication</strong> channel is free, and send their message<br />

to the coordinator before going to sleep again. IEEE 802.15.4 is one example that uses this approach<br />

in non-beacon mode. As collision detection is not easily handled in wireless networks due to the<br />

Scenario<br />

Fixed deployment Covering a large area Many mobile<br />

Covering a small area Bi-directional<br />

devices<br />

Data gathering only <strong>communication</strong><br />

Redundant nodes<br />

Solution<br />

Single-hop Multi-hop Multi-hop<br />

Star topology Cluster tree topology Mesh topology<br />

CSMA MAC Rendezvous-based MAC Adaptive MAC<br />

Energy efficiency<br />

Flexibility<br />

FIGURE 10.4<br />

Different scenarios and energy-efficient solutions.<br />

© <strong>2011</strong> by Taylor and Francis Group, LLC

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