Modifing Power Source Aware Routing (PSAR) algorithm with fuzzy logic addition in ZigBee network

Routing mechanism is one of the many ways to optimize the performance of Zigbee network that used battery-powered device. Therefore, a variety of routing algorithms are developed to obtain the optimal performance. One of the examples is Power-Source Aware Routing (PSAR) algorithm. However, PSAR algorithm has problem that the reconfiguration of battery powered node from communication path is not always possible to be conducted due to the availability of lots of battery-powered devices, or node located outside the communication range, etc. We proposed the modified PSAR algorithm by adding a fuzzy logic. This was to select the optimal battery powered node to forward the message to their neighbors. The results of the simulation indicate that for overall battery powered node, PSAR algorithm has 10.5 percent smaller energy consumption in average compared to Tree algorithm. In addition as a result of the reconfiguration, PSAR algorithm has longer lifetime node. For overall battery-powered node, the modified PSAR algorithm has 6.1 percent smaller energy consumption compared to PSAR algorithm. The modified PSAR algorithm has also more balance lifetime node.