Secure Minimum-Energy Multicast Tree Based on Trust Mechanism for Cognitive Radio Networks

In Cognitive Radio (CR) networks, the non-cooperative behavior is an inherent security issue because it is necessary to realize many functions by means of cooperation, such as spectrum sensing. Then it is important to guarantee the support of cooperation between nodes on multicast communication. In this paper, first the multicast model with optimizing energy use is shown, in which consists of many multicast units. By considering the power consumption concerning spectrum sensing and data transmission, the multicast problem with optimizing energy use is translated into a 0-1 integer programming problem. Secondly, the trust values are calculated by the Bayesian theorem in CR networks. In order to improve the stability of trust mechanism, the new trust values are modified by the iterative control criterion. Finally, a secure minimum-energy multicast (SMEM) algorithm is proposed to ensure multicast communication, and the following example is shown to explain it. The simulation and analysis show that the time complexity of our proposed algorithm is polynomial. Moreover, with the increase of destination nodes, the SMEM algorithm is more effective than the distributed Dist-Implement models of adjustable transmission power in energy utilization.

[1]  Ying-Chang Liang,et al.  A retransmission-based scheme for video streaming over wireless channels , 2010, CMC 2010.

[2]  Ying-Chang Liang,et al.  Network Coding for Wireless Ad Hoc Cognitive Radio Networks , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  Oliver W. W. Yang,et al.  Minimum-energy multicast in wireless ad hoc networks with adaptive antennas: MILP formulations and heuristic algorithms , 2006 .

[4]  Mustaque Ahamad,et al.  Robust Information Dissemination in Uncooperative Environments , 2005, 25th IEEE International Conference on Distributed Computing Systems (ICDCS'05).

[5]  Mario Gerla,et al.  COCAST: Multicast mobile ad hoc networks using cognitive radio , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[6]  G. Sumathi,et al.  Impact of selfish nodes in multicast Ad hoc on demand Distance Vector Protocol , 2010, 2010 International Conference on Wireless Communication and Sensor Computing (ICWCSC).

[7]  Jean-Pierre Hubaux,et al.  Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues , 2002, MobiCom '02.

[8]  Donglin Hu,et al.  On Video Multicast in Cognitive Radio Networks , 2009, IEEE INFOCOM 2009.

[9]  Dipankar Raychaudhuri,et al.  Cognitive radio technology: From distributed spectrum coordination to adaptive network collaboration , 2008, Pervasive Mob. Comput..

[10]  Shaojie Tang,et al.  Multicast capacity of multihop cognitive networks , 2009, 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems.

[11]  Qing Zhao,et al.  Minimum-energy multicast tree in cognitive radio networks , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[12]  J. Berger Statistical Decision Theory and Bayesian Analysis , 1988 .

[13]  Gregory Gutin,et al.  Digraphs - theory, algorithms and applications , 2002 .

[14]  Baochun Li,et al.  Multicast Scheduling with Cooperation and Network Coding in Cognitive Radio Networks , 2010, 2010 Proceedings IEEE INFOCOM.

[15]  Ian F. Akyildiz,et al.  CRAHNs: Cognitive radio ad hoc networks , 2009, Ad Hoc Networks.

[16]  Yunnan Wu,et al.  Minimum-energy multicast in mobile ad hoc networks using network coding , 2004, Information Theory Workshop.

[17]  Ha H. Nguyen,et al.  Resource Allocation for OFDMA-Based Cognitive Radio Multicast Networks With Primary User Activity Consideration , 2010, IEEE Transactions on Vehicular Technology.

[18]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[19]  Nabendu Chaki,et al.  A Secure Hypercube based Team Multicast Routing Protocois (S-HTMRP) , 2009, 2009 IEEE International Advance Computing Conference.

[20]  Weifa Liang,et al.  Minimum-energy all-to-all multicasting in wireless ad hoc networks , 2009, IEEE Transactions on Wireless Communications.

[21]  Ben-Jye Chang,et al.  Markov Chain Trust Model for Trust-Value Analysis and Key Management in Distributed Multicast MANETs , 2009, IEEE Transactions on Vehicular Technology.

[22]  Yiwei Thomas Hou,et al.  Scalable video multicast in cognitive radio networks , 2010, IEEE Journal on Selected Areas in Communications.

[23]  Liu Zhen-zhen Energy efficient multicast routing heuristic algorithms in Ad hoc cognitive radio networks , 2010 .

[24]  Hamamache Kheddouci,et al.  ECGK: An efficient clustering scheme for group key management in MANETs , 2010, Comput. Commun..

[25]  David Grace,et al.  Cognitive Radio with Reinforcement Learning Applied to Multicast Downlink Transmission with Power Adjustment , 2011, Wirel. Pers. Commun..

[26]  Ahmed E. Kamal,et al.  Assisted-Multicast Scheduling in Wireless Cognitive Mesh Networks , 2010, 2010 IEEE International Conference on Communications.