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We investigate the performance of a wireless sensor network composed of a number of IEEE 802.15.4 clusters interconnected in a linear structure. To equalize node lifetime, we utilize randomized sleep at the individual node level and rotation of the bridge role among the nodes located in shared areas between the clusters. Our Markov chain analysis indicates that the proposed mechanism is capable of...
We investigate the performance of a recovery mechanism in channel-hopping cognitive networks. The recovery algorithm is based on a list of backup channels to be used as alternatives if primary-user activity interrupts ongoing communication on the current channel; if all backup channels are exhausted without success, the nodes revert to a blind-rendezvous mechanism. We evaluate the performance of the...
Rendezvous in cognitive networks is often conducted using a predefined or adaptive channel hopping sequence, due to the fact that the time to rendezvous in such cases has a finite upper bound. However, random activity of primary users on any of the channels used can destroy a rendezvous. We show that, in the presence of random primary user activity, the time to rendezvous of sequence-based rendezvous...
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