Adaptive QoS control adjusting receive buffer sizes and parallel TCP connections on information gathering server

In this paper, we focus on an information gathering service like human sensing systems and supervisory system for nursing care, where a server collects information from many clients at the same time, under the current IP network following so-called Best-Effort Discipline. In such applications, especially, communication quality should be enhanced in order to attain application-specific target throughput at maximum. To tackle this technical issue, we propose a method which adaptively tunes TCP socket buffer size and the number of TCP connections according to the policy which preferentially ensures target QoS for high priority clients. This is an unprecedented research about many-to-one transport protocol which has functions to coordinate between multiple sessions. In addition, the proposed method is suitable for the system which transports information to a server considering various network access and priority levels. Through extensive simulation experiments, we demonstrate that proposed methods can ensure the required communication quality within physical limitations according to priorities, regardless of TCP versions.