Abstract: Focusing on the hot spot problem in many to one wireless sensor networks， an unequal clustering data gathering algorithm based on multiple criteria decision (UCDGAMCD) was proposed. The intuitionistic fuzzy analytic hierarchy process and multiple criteria decision making of hierarchical fuzzy integral were used to select cluster heads (CHs)， and a new cluster head competition radius was proposed to make it fit for the network scenarios with energy heterogeneous and nodes non-uniform distribution. To balance energy consumption， a routing algorithm with data ratio distribution was proposed based on residual energy of CHs and transmission energy consumption. The simulation results demonstrated that UCDGAMCD can obtain higher network lifetime in two scenarios—node uniform and non-uniform deployment.

Key words: wireless sensor networks, clustering algorithm, intuitionistic fuzzy analytic hierarchy process, multiple criteria decision making, network lifetime