Title :
Maximizing the route capacity in Cognitive Radio networks
Author :
Cacciapuoti, A.S. ; Caleffi, M. ; Marino, F. ; Paura, Luigi
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol. (DIETI), Univ. of Naples Federico II, Naples, Italy
fDate :
June 30 2014-July 3 2014
Abstract :
The problem of choosing the route providing the best communication opportunities among the available routes is particularly challenging in self-organizing Cognitive Radio networks, since the communication opportunities are deeply affected by the primary-user (PU) activity. Furthermore, whenever the route selection exploits proactively acquired information on the PU activity, routing update packets need to be periodically exchanged among the nodes. The time interval between these exchanges, i.e., the routing update period, deeply affects the overall communication opportunities provided by a route, regardless of the adopted routing protocol. Hence, in this paper, we analytically derive the optimal route priority rule in the sense of maximizing the average capacity, by accounting for both the PU activity and the routing update period. The theoretical analysis is conducted by adopting two different widely-adopted PU activity models to confer generality to the analysis. Finally, the analytical results are validated through numerical evaluations.
Keywords :
cognitive radio; numerical analysis; routing protocols; PU activity; numerical evaluations; optimal route priority rule; primary-user activity; route capacity maximization; route selection; routing protocol; routing update packets; routing update period; self-organizing cognitive radio networks; time interval; Aggregates; Analytical models; Cognitive radio; Conferences; Routing; Routing protocols; Sensors; Cognitive Radio; routing; update;
Conference_Titel :
Sensing, Communication, and Networking Workshops (SECON Workshops), 2014 Eleventh Annual IEEE International Conference on
Conference_Location :
Singapore
DOI :
10.1109/SECONW.2014.6979699