Supporting fast and fair rendezvous for cognitive radio networks

A scheduler for SCADA-based multi-source fusion systems

“…The proposals that focus on resource that are connected through a communications network [11,23,36,38,46,47,50] do not seem easy to adapt because they depend on a variety of parameters that are highly dependent on the network and difficult to extrapolate to other contexts, e.g., signal strength or waveform. The proposals that focus on general resources [3,5,35,49,56,57,60] might be applicable by mapping each rendez-vous onto a shared resource for which the agents have to compete; the problem is that they were not designed to deal with resources that must be shared by two or more agents.…”

“…The idea to enforce fairness using a scheduler was soon adopted in the context of distributed systems [48] , where fairness is used to ensure that no resource remains idle forever or that no agent can starve forever. In the context of information fusion, there are some proposals that focus on resources that can be accessed by means of specificpurpose IoT networks [38,47] or general-purpose communication networks [11,23,36,46,50] ; there are also some proposals that deal with arbitrary resources [3,5,35,49,56,57,60] . Regarding agents, there are several proposals that focus on allocating them to the data centres [12] , the machines [22,31,41,55,58,59] , or the cores [14,24,43] that have more computing power available, since this helps prevent starvation.…”

Quality of Service Aware Channel Hopping Rendezvous in Cognitive Radio Networks for Internet of Things

“…Due to the limitations of a CCC for rendezvous, many researchers focus on CH rendezvous algorithms for establishing communication link in CRNs [7,13,[17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The above studies have shown to be the solutions for rendezvous in CRN.…”

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

“…The spectrum holes are noninterfering multidimensional areas within frequency time and space. Relevant keywords dealing with CRN are spectrum sensing, spectrum handoff [131], rendezvous [140], multicasting [118].…”