An energy-efficient routing protocol for ad-hoc cognitive radio networks

This paper proposes a routing protocol enriched with an assigning mechanism and a capacity-aware scheme, enabling for efficient data flow coordination and energy conservation, among networking nodes with heterogeneous radio spectrum availability in ad-hoc cognitive radio networks. The proposed assigning mechanism is able to effectively determine efficient routing paths in a distributed networking architecture, designed based on a simulation scenario, where networking nodes operate over television white spaces (TVWS). The main target of routing in this simulation scenario is to provide optimal, high throughput data transfer, by efficiently selecting the best routing paths. Towards enabling Energy-Efficiency in the proposed research approach, a Backward Traffic Difference (BTD) estimation methodology is exploited. The novelty adopted in the proposed capacity-aware scheme arises by the ability to utilize different assignments of sleep-wake schedules, depending on different incoming traffic that each networking node receives through time. The validity of the proposed energy efficient routing protocol is verified, by conducting experimental simulations and obtaining performance evaluation results. Simulation results validate routing protocol efficiency for minimizing energy consumption, maximizing resources exchange between networking nodes and minimizing routing delays in ad-hoc cognitive radio networks.

[1]  Constandinos X. Mavromoustakis,et al.  A Resource Intensive Traffic-Aware Scheme for Cluster-based Energy Conservation in Wireless Devices , 2012, 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems.

[2]  George Mastorakis,et al.  Real-time TVWS trading based on a centralized CR network architecture , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[3]  Injong Rhee,et al.  DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks , 2009, IEEE Trans. Mob. Comput..

[4]  George Mastorakis,et al.  A radio resource management framework for TVWS exploitation under an auction-based approach , 2012, 2012 8th international conference on network and service management (cnsm) and 2012 workshop on systems virtualiztion management (svm).

[5]  Ekram Hossain,et al.  Dynamic Spectrum Access and Management in Cognitive Radio Networks , 2009 .

[6]  D. Kendall Stochastic Processes Occurring in the Theory of Queues and their Analysis by the Method of the Imbedded Markov Chain , 1953 .

[7]  Chien-Chung Shen,et al.  A Path-Centric Channel Assignment Framework for Cognitive Radio Wireless Networks , 2008, Mob. Networks Appl..

[8]  George Mastorakis,et al.  Spectrum aware routing in ad-hoc cognitive radio networks , 2012, 2012 Future Network & Mobile Summit (FutureNetw).

[9]  George Mastorakis,et al.  A spectrum aware routing protocol for ad-hoc cognitive radio networks , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[10]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[11]  Wei Liu,et al.  Joint On-Demand Routing and Spectrum Assignment in Cognitive Radio Networks , 2007, 2007 IEEE International Conference on Communications.

[12]  George Mastorakis,et al.  QoS provisioning and policy management in a broker-based CR network architecture , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[13]  Michel Mandjes,et al.  Performance Modeling of a Bottleneck Node in an IEEE 802.11 Ad-Hoc Network , 2006, ADHOC-NOW.

[14]  Xiao Ma,et al.  Spectrum Aware Routing for Multi-Hop Cognitive Radio Networks with a Single Transceiver , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[15]  Marwan Krunz,et al.  Probabilistic Path Selection in Opportunistic Cognitive Radio Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[16]  George Mastorakis,et al.  A prototype cognitive radio architecture for TVWS exploitation under the real time secondary spectrum market policy , 2014, Phys. Commun..

[17]  Wenqing Cheng,et al.  Spectrum Aware On-Demand Routing in Cognitive Radio Networks , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[18]  Hsien-Po Shiang,et al.  Delay-Sensitive Resource Management in Multi-Hop Cognitive Radio Networks , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[19]  Helen D. Karatza,et al.  Real-time performance evaluation of asynchronous time division traffic-aware and delay-tolerant scheme in ad hoc sensor networks , 2010 .

[20]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[21]  George Mastorakis,et al.  Using Real-Time Backward Traffic Difference Estimation for Energy Conservation in Wireless Devices , 2012, AP2PS 2012.