Network Anti-interference Technology Based on Hybrid Optimization Algorithm

According to the cooperation reception strategy and the hybrid optimization, an interference alignment algorithm is proposed. The algorithm can minimize leakage interference and maximize ideal receiption signal power. Firstly, according to the receiver cooperation technology, the pre-coding vectors of transmitter terminal can be estimated by receiver terminal, where these vectors need not be known in advance. In addition, the sum of interference covariance matrix is enough to describe the statistical features of interference alignment problem, which can quickly devise cooperation reception structure. Therefore, based on the bargaining process of cooperation game theory, the optimal full-cooperation mechanism of all the receivers can be selected. The simulation results show that compared with traditionary distributed interference alignment mechanism, our proposed interference alignment mechanism based on cooperation reception strategy and hybrid optimization technology has excellent feasibility under various transmission-power conditions.

[1]  Krishnendu Chakrabarty,et al.  Sensor deployment and target localization in distributed sensor networks , 2004, TECS.

[2]  Kuochen Wang,et al.  Enhanced Color-Theory-Based Dynamic Localization in Mobile Wireless Sensor Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[3]  Chih-Yung Chang,et al.  Distributed direction-based localization in wireless sensor networks , 2005, 10th IEEE Symposium on Computers and Communications (ISCC'05).

[4]  Jiafu Wan,et al.  Issues and Challenges of Wireless Sensor Networks Localization in Emerging Applications , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[5]  Kaijian Xia,et al.  Research in Clustering Algorithm for Diseases Analysis , 2013, J. Networks.

[6]  Tian He,et al.  StarDust: a flexible architecture for passive localization in wireless sensor networks , 2006, SenSys '06.

[7]  W.K.G. Seah,et al.  Multihop localization with density and path length awareness in non-uniform wireless sensor networks , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[8]  Dimitrios Koutsonikolas,et al.  Path planning of mobile landmarks for localization in wireless sensor networks , 2006, Comput. Commun..

[9]  Dirk Verellen,et al.  Quality assurance of a system for improved target localization and patient set-up that combines real-time infrared tracking and stereoscopic X-ray imaging. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[10]  Yu Ge,et al.  An area localization scheme for large wireless sensor networks , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[11]  Hanady M. Abdulsalam,et al.  W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[12]  Duan Wei-jun Application of Weighted Least Square Estimates on Wireless Sensor Network Node Localization , 2006 .

[13]  Kaijian Xia,et al.  The representation and simulation for reasoning about action based on Colored Petri Net , 2010, 2010 2nd IEEE International Conference on Information Management and Engineering.

[14]  Jin-yi Chang,et al.  An edge detection improved algorithm based on morphology and wavelet transform , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[15]  Jian Cai,et al.  Research on Improved Network Data Fault-Tolerant Transmission Optimization Algorithm , 2012 .

[16]  Xuanjing Shen,et al.  An improved node localization algorithm based on DV-Hop for wireless sensor networks , 2011, Comput. Sci. Inf. Syst..

[17]  Kuei-Ping Shih,et al.  A localization protocol with adaptive power control in wireless sensor networks , 2008, Comput. Commun..

[18]  Dharma P. Agrawal,et al.  Range-Free Localization Using Expected Hop Progress in Wireless Sensor Networks , 2009, IEEE Transactions on Parallel and Distributed Systems.

[19]  Kaijian Xia,et al.  Adaptive error control mechanism based on link layer frame importance valuation for wireless multimedia sensor networks , 2010, 2010 2nd International Conference on Advanced Computer Control.

[20]  Kaijian Xia,et al.  A Case of Parallel EEG Data Processing upon a Beowulf Cluster , 2009, 2009 15th International Conference on Parallel and Distributed Systems.

[21]  Volkan Cevher,et al.  Distributed target localization via spatial sparsity , 2008, 2008 16th European Signal Processing Conference.

[22]  Younghwan Yoo,et al.  A Partition-Based LEACH Algorithm for Wireless Sensor Networks , 2009, 2009 Ninth IEEE International Conference on Computer and Information Technology.

[23]  Dharma P. Agrawal,et al.  Localization Algorithm using Expected Hop Progress in Wireless Sensor Networks , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[24]  John T. Wei,et al.  Target localization and real-time tracking using the Calypso 4D localization system in patients with localized prostate cancer. , 2006, International journal of radiation oncology, biology, physics.

[25]  Yiming Ji,et al.  A survey and comparison on localisation algorithms for wireless ad hoc networks , 2005, Int. J. Mob. Commun..

[26]  Narottam Chand,et al.  Improvement in LEACH protocol for large-scale wireless sensor networks , 2011, 2011 International Conference on Emerging Trends in Electrical and Computer Technology.