Negotiation convergence is a crucial part of the automated multi-issue negotiation process. To improve the negotiation convergence process and to minimize complexity an agenda based approach can be used to build a new negotiation model. The agenda based model investigates the significance of the choice of the sequence in issue-by-issue negotiation. This model can improve an agent's utility by providing efficient convergence and an effective equilibrium outcome. The main motivation is to construct a new model which is symmetric and Pareto-optimal. The proposed automated negotiation approach deals with the multiple issues in such a way that it helps to balance the efficiency and effectiveness of the outcome. The model is analysed in an ambient intelligence domain in order to prove its effectiveness.