 tion, filtering, and others); audio signal processing (voice packet that locates one or more routes to the destination coding, voice generation, natural language processing); and returns that path to the source node. Then the in- and sensor signal processing (video, seismic, chemical, formation packet is sent to the destination on that dis- biometric, and others). covered route. This causes overhead in the form of search Synthesizing signal processing functions together to packets. Proactive and reactive routing both have pros form a system is a complex task. A process for algorithm and cons associated with their performance measures, development, test case generation, realization, verifica- such as reliability, latency, overhead required, and SO on. tion, and validation leases the process of building a wave- A hybrid approach is often best to provide scalability form or a cognitive system. Integrated tools for system with offered network load. development are available. Many of the tool sets include An interesting application of CR is the ability to learn automatic generation of high-level language source code how to network with other CRs and adapt behavior to or hardware definition language code. A bit-level accurate achieve some QoS goal such as data rate below some BER simulation environment is used to develop the system bound, bounded latency, limited jitter, and SO forth. algorithms and to generate test cases for post-integration Various cognitive-level control algorithms may be verification and validation. This environment may be used employed to achieve these results. As an example, a for CRs to synthesize communications or multimission fixed-length control word may be used to parameterize a waveforms that enable a CR to achieve specific goals. communications waveform with frequency, FEC, mod- ulation, and other measures. The deployment of a pa- rameterized waveform may be controlled and adapted by Networking protocols using a generic algorithm and various QoS measures to Cooperative groups (a multiagen