摘要：In a large number of location service protocols, the load for long-distance periodic updates takes up a big portion in the total load. So it's possible to effectively reduce the overall load of a protocol through the drop of update load as to further enhance the scalability of the protocol. In this paper, with the use of mobility features of groups on network nodes, it proposes to utilize the location service framework which is based on historical information together with clustering mechanism to curtail the information amount saved by single nodes in the local location database, optimizing individual node's memory overhead and the initialized load of location service protocol. Both higher service success ratio and lower load are enabled in the massive mobile Ad Hoc network.
