Energy Efficient Resource Allocation in Cognitive Radio Wireless Ad Hoc Networks

Bio‐inspired energy and channel management in distributed wireless multi‐radio networks

“…The performance of the developed algorithm was demonstrated via computer simulations and showed that an increase in the number of sink nodes and the number of radio interfaces at the sinks yielded an improved delay and throughput performance at the sink nodes. In [14], a distributed energy‐efficient spectrum access and resource allocation in cognitive radio networks was proposed. Each emerging cognitive radio user selected its frequency subcarriers and determined its transmission parameters individually by solving a constrained optimisation problem in an orthogonal frequency‐division multiple access (OFDMA) network.…”

“…Following a similar argument, the wireless communication networks have the ever dynamic network conditions that may only favour ‘efficient network elements or agents’. Such agents have a goal to either maximise the network capacity or packet delivery ratio or spectrum‐efficiency or energy‐efficiency and/or lifetime or network coverage or to minimise the latency, delay constraints or packet dropping probability, among others, over a specified period in time [5, 13, 14]. Suppose that an ‘efficient network agent’ is attempting to maximise spectrum‐efficiency, then it should be able to ask and answer certain decision‐making optimisation questions such as: What type of network resources must it consume, that is, are they time, spectrum, space, communication energy, network radio interfaces or links?…”

“…The NFPC model brings many design benefits when compared to the closely related emerging cognitive radio models [14, 18]. Firstly, it is likened to a natural selection in a biological ecosystem whereby well‐established natural laws are applied.…”