Adaptive scheduling in Wireless Sensor Networks

As the number of Wireless Sensor Networks (WSNs) applications is anticipated to grow substantially in coming years, new and radical strategies for effectively managing such networks will be needed. One possibility involves endowing the network with an autonomic capability to dynamically adapt itself to the prevailing network operating conditions, even while communications sessions are active. This may involve the network adapting itself either partially or completely. The approach suggested in this paper proposes that a suite of intelligent agents autonomously monitor the various network nodes and, depending on the status of certain parameters, actively intervene to alter the scheduling mechanism used, thus ensuring continuous operation and stability of the network together with an an improved performance yield.