Performance optimization of WSNs using external information

The performance of Wireless Sensor Networks (WSNs) is a domain that attracts a lot of attention. Congestion occurrence is a fact that negatively affects the performance of WSNs. In this work, we propose and design two specific congestion control and avoidance algorithms for WSNs that contribute to the confrontation of this problem. The two algorithms are the Hierarchical Tree Alternative Path Algorithm (HTAP) and the Dynamic Alternative Path Selection (DAlPaS) algorithm. The operation of both algorithms is based on the creation of alternative paths from sources to sinks, without affecting at any point the data rate of the sources (resource control method), as opposed to the operation of the majority of congestion algorithms in WSNs that exist in literature, which reduce the data rate of the sources in order to mitigate congestion (traffic control method). The operation of both algorithms has been evaluated under several experiments and results seems to be very promising.