An Efficient Routing Protocol for Secured Communication in Cognitive Radio Sensor Networks

This paper introduces an efficient reactive routing protocol considering the mobility and the reliability of a node in Cognitive Radio Sensor Networks (CRSNs). The proposed protocol accommodates the dynamic behavior of the spectrum availability and selects a stable transmission path from a source node to the destination. Outlined as a weighted graph problem, the proposed protocol measures the weight for an edge the measuring the mobility patterns of the nodes and channel availability. Furthermore, the mobility pattern of a node is defined in the proposed routing protocol from the viewpoint of distance, speed, direction, and node's reliability. Besides, the spectrum awareness in the proposed protocol is measured over the number of shared common channels and the channel quality. It is anticipated that the proposed protocol shows efficient routing performance by selecting stable and secured paths from source to destination. Simulation is carried out to assess the performance of the protocol where it is witnessed that the proposed routing protocol outperforms existing ones.

[1]  Shozo Komaki,et al.  Cognitive Radio Ad-Hoc Network Architectures: A Survey , 2015, Wirel. Pers. Commun..

[2]  Mohammed Quddus,et al.  MPBRP- Mobility Prediction Based Routing Protocol in VANETs , 2019, 2019 International Conference on Advanced Communication Technologies and Networking (CommNet).

[4]  Aditya Trivedi,et al.  An Opportunistic Channel Access Scheme with Channel Ordering for Cognitive Radio Network , 2015, 2015 Fifth International Conference on Communication Systems and Network Technologies.

[5]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[6]  Ramin Karimi,et al.  PGRP: Predictive geographic routing protocol for VANETs , 2018, Comput. Networks.

[7]  Sharmin Akter,et al.  A Spectrum Aware Mobility Pattern Based Routing Protocol for CR-VANETs , 2020, 2020 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Xiang Ji,et al.  SDGR: An SDN-Based Geographic Routing Protocol for VANET , 2016, 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

[9]  Nafees Mansoor,et al.  RARE: A Spectrum Aware Cross-Layer MAC Protocol for Cognitive Radio Ad-Hoc Networks , 2018, IEEE Access.

[10]  Xuemin Shen,et al.  Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks , 2016, IEEE Transactions on Wireless Communications.

[11]  Mubashir Husain Rehmani,et al.  PRACB: A Novel Channel Bonding Algorithm for Cognitive Radio Sensor Networks , 2016, IEEE Access.

[12]  Sanjay Silakari,et al.  Detection of Malicious Nodes (DMN) in Vehicular Ad-Hoc Networks☆ , 2015 .

[13]  Akbar Ghaffar Pour Rahbar,et al.  Detection of malicious vehicles (DMV) through monitoring in Vehicular Ad-Hoc Networks , 2011, Multimedia Tools and Applications.