Wireless Sensor Networks, Making a Difference Tomorrow

Embedding smart sensors in humans has been a research challenge due to the limitations imposed by these sensors from computational capabilities to limited power. In this paper, a practical WSN application that will enable blind people to see what their neighboring partners can see is proposed. The challenge is that the actual mapping between the input images to brain pattern is too complex and not well understood. We also study the connectivity problem in 3D/2D wireless sensor networks and propose distributed efficient algorithms to accomplish the required connectivity of the system. A novel connectivity algorithm CDCA to connect disconnected parts of a network using cooperative diversity is introduced. Through simulations, the connectivity gains and energy savings provided by this novel form of cooperative diversity in WSNs are analyzed.

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