Stability-based routing, link scheduling and channel assignment in cognitive radio mobile ad-hoc networks

One fundamental issue in cognitive radio mobile ad hoc networks (CR-MANETs) is the selection of a stable path between any source and destination node to reduce the end-to-end delay and energy consumption arisen from route reconstruction. In this way, we analyse the link stability by calculating the link life time that is dependent on failures caused by secondary users’ (SUs) movements and primary users’ (PUs) activities. We propose a joint stability-based routing, link scheduling and channel assignment (SRLC) algorithm in CR-MANETs, which is benefited from considering the link life time, amount of interference imposed on PUs and energy consumption. The proposed algorithm selects a frequency channel/time slot in a way that channel utilization and previous behaviours of SUs and PUs, are taken into account. In the proposed SRLC, the concept of load balancing is applied by avoiding to route packets through SUs with insufficient energy. The effectiveness of the proposed algorithm is verified by evaluating the aggregate interference energy, end-to-end delay, goodput and the energy usage per packet transmission under three different scenarios. The results show our proposed scheme finds better routes compared to the recently proposed joint stable routing and channel assignment protocol.

[1]  Stephen B. Wicker,et al.  Link Dynamics and Protocol Design in a Multihop Mobile Environment , 2006, IEEE Transactions on Mobile Computing.

[2]  Minyi Guo,et al.  Delay-Minimized Routing in Mobile Cognitive Networks for Time-Critical Applications , 2017, IEEE Transactions on Industrial Informatics.

[3]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[4]  Wanjiun Liao,et al.  Impact of Node Mobility on Link Duration in Multihop Mobile Networks , 2009, IEEE Transactions on Vehicular Technology.

[5]  Minyi Guo,et al.  Joint channel assignment, stable routing and adaptive power control in mobile cognitive networks , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Eylem Ekici,et al.  A New Outlook on Routing in Cognitive Radio Networks: Minimum-Maintenance-Cost Routing , 2013, IEEE/ACM Transactions on Networking.

[7]  Ghasem Mirjalily,et al.  Fault-tolerant interference-aware topology control in multi-radio multi-channel wireless mesh networks , 2016, Comput. Networks.

[8]  F. Richard Yu,et al.  Prediction-Based Topology Control and Routing in Cognitive Radio Mobile Ad Hoc Networks , 2010, 2010 INFOCOM IEEE Conference on Computer Communications Workshops.

[9]  Minyi Guo,et al.  Primary user activity prediction based joint topology control and stable routing in mobile cognitive networks , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[10]  Hui Li,et al.  Link expiration times in mobile ad hoc networks , 2002, 27th Annual IEEE Conference on Local Computer Networks, 2002. Proceedings. LCN 2002..

[11]  Minyi Guo,et al.  Joint Routing and Channel Assignment for Delay Minimization in Multi-Channel Multi-Flow Mobile Cognitive Ad Hoc Networks , 2014, GLOBECOM 2014.

[12]  Sajal K. Das,et al.  Longevity of routes in mobile ad hoc networks , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[13]  Joel J. P. C. Rodrigues,et al.  Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks , 2017, Int. J. Commun. Syst..

[14]  Jian Yang,et al.  Security-Aware Resource Allocation With Delay Constraint for NOMA-Based Cognitive Radio Network , 2018, IEEE Transactions on Information Forensics and Security.

[15]  Michele Garetto,et al.  Route Stability in MANETs under the Random Direction Mobility Model , 2009, IEEE Transactions on Mobile Computing.

[16]  Omer Waqar,et al.  Mobility and energy aware routing algorithm for mobile ad-hoc networks , 2017, 2017 International Conference on Electrical Engineering (ICEE).

[17]  Tieshan Li,et al.  Resource allocation in cooperative cognitive radio networks towards secure communications for maritime big data systems , 2018, Peer Peer Netw. Appl..

[18]  Victor C. M. Leung,et al.  Energy Efficient Subchannel and Power Allocation for Software-defined Heterogeneous VLC and RF Networks , 2018, IEEE Journal on Selected Areas in Communications.

[19]  Hiren Kumar Deva Sarma,et al.  A probability based stable routing for cognitive radio adhoc networks , 2015, Wireless Networks.

[20]  Beatriz Lorenzo,et al.  Cross layer scheme for quality of service aware multicast routing in mobile ad hoc networks , 2018, Wirel. Networks.

[21]  Beongku An,et al.  The Analysis of Route Availability and Route Stability in Mobile Ad-hoc Wireless Networks , 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

[22]  Francesca Cuomo,et al.  Gymkhana: A Connectivity-Based Routing Scheme for Cognitive Radio Ad Hoc Networks , 2010, 2010 INFOCOM IEEE Conference on Computer Communications Workshops.

[23]  Minyi Guo,et al.  Mobility Prediction Based Joint Stable Routing and Channel Assignment for Mobile Ad Hoc Cognitive Networks , 2016, IEEE Transactions on Parallel and Distributed Systems.

[24]  Mohammed Hawa,et al.  Distributed opportunistic spectrum sharing in cognitive radio networks , 2017, Int. J. Commun. Syst..

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