Preprint Article Version 1 NOT YET PEER-REVIEWED

Spectrum-Availability Based Routing for Cognitive Sensor Networks

  1. Key Laboratory Modern Teaching Technology, Ministry of Education, Xi’an 710062, China
  2. School of Computer Science, Shaanxi Normal University, Xi’an 710119, China
  3. Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
Version 1 : Received: 10 October 2016 / Approved: 10 October 2016 / Online: 10 October 2016 (12:17:22 CEST)

How to cite: 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). 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).

Abstract

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.

Subject Areas

internet of thing; IoT; cognitive sensor networks; forwarding; spectrum-availability; retransmission

Readers' Comments and Ratings (0)

Discuss and rate this article
Views 104
Downloads 153
Comments 0
Metrics 0
Discuss and rate this article

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.