More than providmg a wireless structure for Internet access; Wireless Mesh Networks are being challenged to support diverse kinds or multimedia applications such as Voice over 113 and video streaming in publish-subscriber and peer-to-peer service models In this context, Several routing metrics have been proposed to improve the routing performance as Well as the network capability to satisfy the requirements of multimedia applicat.ions However, most routing metrics lack the consistent integration of efficient monitoring mechanisins for interference and traffic had characterization in order to support the adequate decisions by the routing, algorithins In this sense, a new routing metric is proposed in thispaper, called metric for INterfrerence and channel Diversity (MIND), that measures network interference and load, based on a passive monitoring mechanism in order to avoid the overhead of active network state. information gathering An evaluation of MIND and relevant existing routing, metrics was performed using NS2 The results showed that when path selection is based on MIND, traffic perfomance is significantly better, than with the other metrics