ASYNCHRONOUS TIME ENCODER BASED QUASI-STATIC MODELLING FOR HUMAN AREA NETWORK IN VANET

Abstract

Power constraints play a key role in designing Huma n Area Networks (HANs) for bio authentication vehicle based on driver’s identity. To alleviate th e power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing bio authentication information and the skin surface as the communication channel. Time encoding does not require a clock while allows perfect sign al recovery; the communication channel is operated bel ow 1 MHz We (i) review the fundamental theory behind time encoding and signal recovery, (ii) desc ribe the implementation of a HAN prototype, (iii) describes the implementation of bio authentication for vehicle identity and (iv) present research data obtained from our experimental platform. We demonstrate that the fidelity of the proposed signal representation and transmission scheme is well abov e the bio medical monitoring requirements even in t he case of additive channel-noise and neighbouring cha nnel interference. Consequently, the traditional HA N architecture consisting of clocked A/D converters f eeding into digital RF channels can be replaced wit h a less power demanding time encoding/decoding pair that uses the skin surface as a communications channe l. Here we propose a multilayer mathematical model using volume conductor theory for galvanic coupling HAN on a human limb with consideration on the inhomogeneous properties of human tissue. By introducing and checking with quasi-static approxim ation criteria, Maxwell’s equations are decoupled a nd capacitance effect is included to the governing equ ation for further improvement. Finally, the accurac y and potential of the model are examined.