Quality of Service Routing Algorithm for Cognitive Wireless Sensor Network

Wireless Sensor Networks have attracted much attention in recent years. The potential applications of WSNs are immense. They are used for sensing, measuring, collecting, storing, and sharing the sensed data. Wireless Sensor Networkshave been used for various applications including habitat monitoring, agriculture, nuclear reactor control, security and tactical surveillance.In Wireless Sensor Network the most power hungry part is the communication. Communication is the most energy conserving factor in Wireless Sensor Network. Different routing protocols exist on the basis of network architecture and applications. Wireless Sensor Network is a dynamic distributed system where sensor nodes perform the complex tasks collectively. Wireless Sensor Networkhas many constraints associated with it. These are limited computational capacity, battery power, and adequate storage capacity etc.So management of resources is the utmost important issues in Wireless Sensor Network while computing the path from source to the base station. Most of the recent research has focused on the sensor networks where the sensor nodes are static only. We have focused our work in a dynamic sensor environment where the base station is mobile to collect the data from the cluster head. This paper presents a distributed leveling and clustering based Quality of Service routing protocol which can increase the network lifetime by saving some battery power. In the same time,it increases the overall network performance by decreasing the packet loss and bit error probability. Also, the proposed protocol introduces the cognitive radio technology where it utilizes the unutilized assigned radio spectrum effectively and efficiently by using the dynamic Time Division Multiple Accesses technique.