In Cognitive Radio Ad-Hoc Networks [1] the design of suitable routing solutions is a focal issue to fully unleash the potentials of this networking paradigm. The main challenge is exploiting spectrum holes to build up network paths that remain stable and that achieve specific network performance in terms of delay and percentage of delivered data, even if an opportunistic spectrum access is implemented. In this paper we propose a utility function based on the path connectivity, re-elaborated in a cognitive radio scenario, and we compare it with other utility functions that can be used for routing data in cognitive radio. We show that by using our utility function we select paths for the secondary users transmissions leading to better performance when compared with a utility function that selects paths with the minimum activities of the primary users and an utility function that minimizes the number of hops. These results are derived in great number of topologies and with different primary users activities. © 2011 IEEE.
Comparison of utility functions for routing in cognitive wireless ad-hoc networks / Abbagnale, Anna; Cuomo, Francesca; Salvo, Pierpaolo. - (2011), pp. 127-130. (Intervento presentato al convegno 2011 the 10th IFIP Annual Mediterranean Ad Hoc Networking Workshop, Med-Hoc-Net'2011 tenutosi a Favignana Island; Italy nel 12 June 2011 through 12 June 2011) [10.1109/med-hoc-net.2011.5970478].
Comparison of utility functions for routing in cognitive wireless ad-hoc networks
ABBAGNALE, ANNA;CUOMO, Francesca;SALVO, PIERPAOLO
2011
Abstract
In Cognitive Radio Ad-Hoc Networks [1] the design of suitable routing solutions is a focal issue to fully unleash the potentials of this networking paradigm. The main challenge is exploiting spectrum holes to build up network paths that remain stable and that achieve specific network performance in terms of delay and percentage of delivered data, even if an opportunistic spectrum access is implemented. In this paper we propose a utility function based on the path connectivity, re-elaborated in a cognitive radio scenario, and we compare it with other utility functions that can be used for routing data in cognitive radio. We show that by using our utility function we select paths for the secondary users transmissions leading to better performance when compared with a utility function that selects paths with the minimum activities of the primary users and an utility function that minimizes the number of hops. These results are derived in great number of topologies and with different primary users activities. © 2011 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.