In　the　field　of　wireless　sensor　networks,　it　is　a　fundamental　issue　to　balance　efficient　routing　and　energy　cost　via　self-organization.　Moreover,　many　applications　require　some　QoS　metrics,　but　not　enough　attention　has　been　attracted.　In　this　paper,　an　Energy　prediction　routing　algorithm　with　adaptive　QoS　guarantees　was　proposed　using　Chaotic　Ant　Colony　algorithm,　EQCACA　for　short,　to　tackle　the　combination　problem.　Simulation　results　demonstrate　the　effectiveness　of　the　proposed　algorithm　in　terms　of　bandwidth,　delay　and　packet　loss　rate　compared　with　ant　colony　routing　algorithm.　©　2011　IEEE.