Maximizing the Capacity of Magnetic Induction Communication for Embedded Sensor Networks in Strongly and Loosely Coupled Regions

We attempt to maximize the capacity of magnetic induction communication in strongly and loosely coupled regions. In a strongly coupled region, we investigate frequency splitting, which disturbs the resonance of transmitter and receiver coils. We find a splitting coupling point, which is the value just before frequency splitting occurs, and propose an adaptive frequency-tracking scheme for finding an optimal frequency. The proposed scheme compensates for the degradation of capacity and so guarantees large capacity even at regions where frequency splitting occurs. Next, in a loosely coupled region, we derive an optimal quality factor for maximizing capacity in a two-coil system. As the distance between coils increases, strong resonance is needed to overcome the serious attenuation of signal strength. As a result, the optimal quality factor should be increased. In addition, we find an optimal quality factor for a relay system in order to guarantee reliable communication at long distance. In addition, an optimal- Q scheme that adjusts the optimal quality factor according to a given distance can achieve near-optimal capacity. Finally, through simulations using the Agilent Advanced Design System, we demonstrate the accuracy of our analytic results and the effectiveness of the proposed schemes.

[1]  Tatsuya Yamazaki,et al.  The Ubiquitous Home , 2007 .

[2]  Mehrnoush Masihpour,et al.  Power equations and capacity performance of Magnetic Induction body area network nodes , 2010, 2010 Fifth International Conference on Broadband and Biomedical Communications.

[3]  R. Mongia RF and microwave coupled-line circuits , 1999 .

[4]  I. Young,et al.  Low-loss magneto-inductive waveguides , 2006 .

[5]  Wai-Kai Chen,et al.  Feedback Networks: Theory and Circuit Applications , 2007, Advanced Series in Circuits and Systems.

[6]  Alanson P. Sample,et al.  Analysis , Experimental Results , and Range Adaptation of Magnetically Coupled Resonators for Wireless Power Transfer , 2010 .

[7]  Ian F. Akyildiz,et al.  Deployment Algorithms for Wireless Underground Sensor Networks Using Magnetic Induction , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[8]  L. Solymar,et al.  Magnetoinductive waves in one, two, and three dimensions , 2002 .

[9]  Y.E. Wang,et al.  Capacity performance of an inductively coupled near field communication system , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.

[10]  Zhi Sun,et al.  Magnetic Induction Communications for Wireless Underground Sensor Networks , 2010, IEEE Transactions on Antennas and Propagation.

[11]  H. Haus Waves and fields in optoelectronics , 1983 .

[12]  Chih-Jung Chen,et al.  A Study of Loosely Coupled Coils for Wireless Power Transfer , 2010, IEEE Transactions on Circuits and Systems II: Express Briefs.

[13]  Ian F. Akyildiz,et al.  Wireless underground sensor networks: Research challenges , 2006, Ad Hoc Networks.

[14]  Li Liyz,et al.  Characteristics of Underground Channel for Wireless Underground Sensor Networks , 2007 .

[15]  M. Soljačić,et al.  Wireless Power Transfer via Strongly Coupled Magnetic Resonances , 2007, Science.

[16]  Sangwook Nam,et al.  Mode-Based Analysis of Resonant Characteristics for Near-Field Coupled Small Antennas , 2009, IEEE Antennas and Wireless Propagation Letters.

[17]  Rajeev Bansal,et al.  Near-field magnetic communication , 2004 .

[18]  Tatsuya Yamazaki,et al.  Ubiquitous home: real-life testbed for home context-aware service , 2005, First International Conference on Testbeds and Research Infrastructures for the DEvelopment of NeTworks and COMmunities.

[19]  B. Rose Home networks: a standards perspective , 2001 .