Adaptive Service Discovery on Service-Oriented and Spontaneous Sensor Systems
Lu Liu, Jie Xu, Nick Antonopoulis, Jianxin Li and Kaigui Wu
Natural and man-made disasters can significantly impact both people and environments. Enhanced effect can be achieved through dynamic networking of people, systems and procedures and seamless integration of them to fulfill mission objectives with service-oriented sensor systems. However, the benefits of integration of services will not be realized unless we have a dependable method to discover all required services in dynamic environments. In this paper, we propose an Adaptive and Efficient Peer-to-peer Search (AEPS) approach for dependable service integration on service-oriented architecture based on a number of social behavior patterns. In the AEPS network, the networked nodes can autonomously support and co-operate with each other in a peer-to-peer (P2P) manner to quickly discover and self-configure any services available on the disaster area and deliver a real time capability by self-organizing themselves in spontaneous groups to provide higher flexibility and adaptability for disaster monitoring and relief.
Keywords: Service-oriented architecture, spontaneous networks, self-organization, self-configuration, sensor systems, social patterns.