Context construction and secured service discovery architecture for next generation wireless network

Abstract

Mobility is a term that denotes the physical movement of an object from one place to another in the desire to obtain resources or to move away from the scarcity of them. Mobility can involve both physical and logical objects. The attributes of communication are Bandwidth, latency, reliability, error rate, delay, interference; i.e. Quality of Service (QoS). In the first phase of the work, the selection of connectivity and adaptation of application protocol parameters is carried out depending on the existing information concerned with offered-QoS. The Service Location Protocol (SLP) is considered for service discovery. In the experiment, the requested traffic rate is varied from 100kb to 500 kb and average throughput and delay for each client are measured. In the second experiment, the requested traffic packet size is varied from 100 to 500 bytes. In the experiment, the number of clients is varied from 2 to 10. Since Secured Service Discovery (SSD) securely transmits the service discovery and reply, the attackers are not able to disturb the data. In the third phase, a location aware service discovery protocol is developed in next generation wireless networks. The proposed protocol is split into three phases. The handoff is triggered by comparing the received signal strength of the base station (BS) with the predefined threshold value in the first phase. The results show that Location Aware Service Discovery (LASD) has less delay when compared to Qos-Aware Context Construction (QACCD), when the rate is increased, because of its preallocation of resources due to mobility prediction. The key achievements are, the implementation of QoS predictions scheme as a part of QoS and context aware service infrastructure design, development of a QoS aware Context Construction protocol and a cost effective routing tree is constructed and maintained dynamically. The security architecture for the existing service discovery model is designed. In addition, a location aware service discovery is proposed. newline newline newline