JISE


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Journal of Information Science and Engineering, Vol. 34 No. 4, pp. 1015-1030


End-to-end Congestion Relief and Physical Layer Security-Aware Routing Design for Ad Hoc Networks in IoT Applications


YANG XU1, JIA LIU2,3, RUO ANDO2 AND NORIO SHIRATORI4
1School of Economics and Management
Xidian University
Xi'an, 710071 P.R. China

2Center for Cybersecurity Research and Development
National Institute of Informatics
Tokyo 101-8430, Japan

3State Key Laboratory of ISN
Xidian University
Xi'an, 710071 P.R. China

4Research Institute of Electrical Communication
Tohoku University
Sendai 980-8577, Japan
E-mail: yxu@xidian.edu.cn; {jliu; ruo}@nii.ac.jp; norio@shiratori.riec.ac.jp


   Ad hoc networks are important pillars for IoT (Internet of Things) development. In order to support IoT traffic transmission in ad hoc networks, it is of great importance to design effective routing protocols to relieve traffic congestion while ensuring data secrecy. To this end, in this paper we first propose a physical layer security-aware congestion relief routing protocol (PCRR). Through sensing the eavesdroppers' location, hop count and congestion information of available paths, PCRR can select an appropriate secure route for data transmission. Based on PCRR and combining the advantages of single-path and multi-path routing strategies, we further develop a mixed-path PCRR protocol (MPCRR), which is more capable of counteracting eavesdroppers by utilizing the simultaneous transmissions from multiple paths. According to the current network state information, M-PCRR can flexibly decide whether or not to execute the multi-path scheme. Finally, we conduct extensive OPNET simulations to validate the performance of proposed routing protocols and show how their route selection is conducted. The results indicate that compared with AODV, PCRR and M-PCRR can improve the network throughput, reduce the hop count and energy consumption, while ensuring the delay performance and control overhead.


Keywords: ad hoc networks, routing design, congestion relief, physical layer security, IoT

  Retrieve PDF document (JISE_201804_14.pdf)