Wireless sensor networks consist of the placement of sensors over a broad area
in order to acquire data. Depending on the application, different design criteria
should be considered in the construction of the sensors but among all of them, the
battery life-cycle is of crucial interest. Power minimization is a problem that has been
addressed from different approaches which include an analysis from an architectural
perspective and with bit error rate and/or discrete instantaneous transmission rate
constraints, among others. In this work, the optimal transmit power of a sensor
node while satisfying different rate constraints is derived. First, an optimization
problem with an instantaneous transmission rate constraint is addressed. Next, the
optimal power is analyzed, but now with an average transmission rate constraint.
The optimal solution for a class of fading channels, in terms of system parameters,
is presented and a suboptimal solution is also proposed for an easier, yet efficient,
implementation. Insightful asymptotical analysis for both schemes, considering a
Rayleigh fading channel, are shown. Furthermore, the optimal power allocation for a
sensor node in a cognitive radio environment is analyzed where an optimum solution
for a class of fading channels is again derived. In all cases, numerical results are provided for either Rayleigh or Nakagami-m fading channels. The results obtained
are extended to scenarios where we have either one transmitter-multiple receivers or
multiple transmitters-one receiver.
| Date of Award | Jul 2011 |
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| Original language | English (US) |
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| Awarding Institution | - Computer, Electrical and Mathematical Sciences and Engineering
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| Supervisor | Mohamed-Slim Alouini (Supervisor) |
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