Being infrastructureless, node trust plays an important role in security and reliability of mobile ad hoc networks. A new trust valuation model based on the experience of node is given to evaluate trustworthiness between network nodes. To improve the accuracy and rationality of node trust evaluation in a mobile network, the evidence theory is introduced to evaluate trust and combine multilateral experience from others. In addition, observationframe is introduced to incorporate experience’s timesensitivity, which provides adequate support to cope with strategically altering behaviors of malicious nodes efficiently. A lowcost recommendation technique based on sleep mechanism is provided for neighboring nodes to share experience information, which obtains faster convergence rate and reduces the whole energy dissipation. Together, recommendation trust is quantitatively evaluated by a fuzzy similarity measure, which significantly increases the resilience against dishonest feedbacks. In comparison with the existing works, a complete trust valuation model is designed, with emphasis on its adaptability to dynamics of trust, robustness and resourcesaving. This model can be used in coordination and security decision for network services. Finally, the theoretical analysis and simulations is given to evaluate the proposed techniques.