Norio Shiratori

Location management in PCN by movement prediction of the mobile host

The mobile hosts mobility profile, in a personal communication network (PCN) environment, is modeled. It is argued that, for a majority of mobile hosts (MHs) for most of the time, the movement profile repeats on a day-to-day basis. The next movement strongly depends on the present location and the time of the day. In this paper, such a pattern for every individual MHs is learned. The model is not static and re-learning is initiated as the behavior of the mobile host changes. Thus the model assumes that the past patterns will repeat in future and a past causal relationship (i.e., next state depends on previous state) continue into the future. A copy of the model is uploaded at the home location register (HLR). This facilitates the system to predict to a high degree of accuracy the location of a MH. During the course of learning, as the model gets perfected, the frequency of updates decreases as well as the probability of success in paging improves. The model is continuously verified locally and re-learning is initiated when a shift in mobility pattern is detected. The validity of the proposed model was verified through simulations.

Evaluation of Wireless Network Communication by Autonomous Flight Wireless Nodes for Resilient Networks

The recent development of the society has caused new types of problems such as gaps of depopulation, population aging, and income between urban areas and local areas. The gap of communication networks is also one of the problems, and the poor network circumstance in local areas might affect the future medicare or welfare services by using Information Technology. Also, when there is a natural disaster such as earthquakes or typhoon, these local areas are likely to isolate from others because of disconnection of communication cables or breakdown of network devices. Therefore, this paper proposes Autonomous Flight Wireless Nodes (AFW) for the resilient networks consisted of Delay Tolerant Networks and Never Die Networks, and it is aiming to communicate with isolated areas. In the proposed methods, IP network based drones support data transmission by the autonomous flight with seeking possible wireless stations and sending the message data by the proposed resilient network. Then, the implementations of the proposed methods are introduced, and the results of wireless network conditions by the field experiments are reported in this paper.

Construction of a multiple entities communication protocol by compositional approach

We consider a compositional approach for designing service and protocol specifications for communicating entities. The proposed techniques consider alternative, sequential, and parallel composition of service specifications and protocol specifications. The specifications are specified in Basic LOTOS which is a formal description technique. We use the weak bisimulation equivalence, to represent the correctness properties between the service specification and the protocol specification.