Key Laboratory Modern Teaching Technology, Ministry of Education, Xi’an 710062, China
School of Computer Science, Shaanxi Normal University, Xi’an 710119, China
Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
: Received: 10 October 2016 / Approved: 10 October 2016 / Online: 10 October 2016 (12:17:22 CEST)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to cite:
Zhang, L.; Cai, Z.; Li, P.; Wang, X. Spectrum-Availability Based Routing for Cognitive Sensor Networks. Preprints2016, 2016100032 (doi: 10.20944/preprints201610.0032.v1).
Zhang, L.; Cai, Z.; Li, P.; Wang, X. Spectrum-Availability Based Routing for Cognitive Sensor Networks. Preprints 2016, 2016100032 (doi: 10.20944/preprints201610.0032.v1).
The widespread proliferation of sensor nodes in the era of Internet of Things (IoT) coupled with increasing usage of wireless spectrums especially the ISM band makes it difficult to deploy real-life IoT. Currently, the cognitive radio technology enables sensor nodes communicate with each other through the licensed spectrum bands as well as the free ISM bands. Cognitive radio networks (CRSNs) are considered as a promising solution to the problem of spectrum under utilization and artificial radio spectrum scarcity. The paradigm of dynamic spectrum access allows secondary users (SUs) to utilize wireless spectrum resources which belong to primary users (PUs) with minimal interference to PUs. Due to the dynamic spectrum availability and quality, routing for SUs in multi-hop CRSNs is a challenge. In this paper, we introduce novel routing metrics that estimate both the future spectrum availability and the average transmission time with the consideration of both the global statistical spectrum usage and local instant spectrum resources. In our novel routing metrics, one retransmission is allowed and considered to reduce the probability of rerouting upon PU's arrival. Then, we propose two routing algorithms for multi-hop CRSNs. Finally, we conduct simulations, whose results show that our proposed algorithms lead to a significant performance improvement over the reference algorithm.
internet of thing; IoT; cognitive sensor networks; forwarding; spectrum-availability; retransmission