The Study On Lifetime And Mobility Of Wban

In recent years, with the development of technology of wireless communication, sensor and computer, wireless body area network (WBAN) has been widely applied in many application aspects, especially in the field of medicine. WBAN is formed by self-organized sensor nodes which have the characters of low power consumption, owning capabilities of sensing, data processing, storage and wireless communication. Due to the energy consumption of sensor nodes is strictly constrained, how to reduce network energy consumption and extend network lifetime becomes the primary objective during the design of WBAN. Because of the human body movement, network topology of WBAN is highly inconstant. Thus, how to improve network connectivity and balance network energy consumption is another crucial issue of WBAN.The network lifetime depends on the survival time of a single node and the balance of energy consumption of the whole network, while the later is more important. Based on this idea, this paper presents a general model for maximizing the network lifetime of WBAN. In many practical applications, there often exist temporary nodes that join the network to complete some specific task. When they disconnect from the network, there are relatively abundant surplus of energy which has not yet been used. If such surplus of energy of temporary node can be taken full advantage of to balance the network energy consumption, it is conducive to extend the survival network lifetime of the network. Under this circumstance, this paper presents a RSUTN algorithm, and simulation results are used to show the significantly gain of the network lifetime provided by the algorithm.Network topology determines the basic characters of network such as peer network connectivity and the dynamic change in network topology depends on the network model has significant meaning. Since the body movement is quite different from other kinds of motion, dynamic topology changes of WBAN are also very different from other WSNs. Therefore, from the principles of human motion, this paper studies the mobility model of WBAN.