**Acknowledgement**

20 Will-be-set-by-IN-TECH

<sup>0</sup> <sup>50</sup> <sup>100</sup> <sup>150</sup> <sup>0</sup>

Area size X [meters]

<sup>0</sup> <sup>50</sup> <sup>100</sup> <sup>150</sup> <sup>0</sup>

Area size X [meters]

**Figure 11.** Example network topology after the second algorithm iteration. Only one additional base

the purpose of the system recovery, our algorithm has an acceptable running time.

hours for a 58-node scenario because of the intractability of the approach. This means that for

In this chapter, we developed a new approach for guaranteeing the availability of the services radio coverage and connectivity of Wireless Mesh Networks in dynamic propagation environments. Our approach is to apply fault-tolerance for avoiding service failures in the presence of environmental dynamics. Differing from the existing methods, we use

X: 64.86 Y: 43.8

50

50

100

Area size Y [meters]

station results in a biconnected topology.

**6. Conclusion**

150

**Figure 10.** Example network topology after the first algorithm iteration

100

Area size Y [meters]

150

This work has been partially funded by the European Commission within the EU-project flexWARE, grant number 224359.

The project flexWARE (Flexible Wireless Automation in Real-Time Environments) develops a communication system for factory-wide wireless real-time control [12, 13, 38]. The methods, presented in this chapter, are used in flexWARE to achieve availability of the wireless medium by radio coverage monitoring and prediction and network engineering.
