Nowadays trust models are one of the most important to build up trust relationships among sensor nodes. Most of the existing work is missing the following problem. First problem is in the current research work, the assessment of trust values for sensor nodes is mainly based on the communication (successful and unsuccessful communications) point of View. Proposed work also considers other trust metrics such as the energy level should also be taken into account to calculate the trustworthiness of sensor nodes. Second there are two common ways to establish trust in WSNs: calculating direct trust based on direct interactions and calculating indirect trust value based on recommendation from the third party. However, not all the third parties are trusty and not all the recommendations are reliable. Thus, a discriminate analysis about the third party and recommendation is essential. Third Most existing studies only provide the trust assessment for neighbor nodes. However, in real applications, a sensor node sometimes needs to obtain the trust value of the non-neighbor nodes. Therefore, providing the trust assessment for non-neighbor nodes becomes very important. Fourth, because of the dynamic topology, the trust relationship between sensor nodes constantly changes in WSNs. Trust is a dynamic phenomenon and changes with time and environment conditions. However, most existing trust models do not solve the trust dynamic problem. In order to solve the above-mentioned problems, propose an Efficient Distributed Trust Model (EDTM) for WSNs. Implementation results will show that EDTM outperforms other similar models, e.g., (Node Behavioral strategies banding belief theory of the Trust Evaluation) NBBTE trust model.