Research On The Network Lifetime Of TTSN

Wireless sensor network technology is a very popular research in nowadays. Due to the energy of sensor is limited, so the entire network lifetime is limited to the energy. How to improve the lifetime of wireless sensor network is one of the most important issues to consider.In recent years, a lot of literature presents that using relay node to maximise the lifetime of network. In these literatures, wireless sensor network is divided into two layers, and is called two-tiered sensor network (TTSN).In TTSN, Relay node has high energy, they are responsible for receiving and transmiting data, and are equivalent to cluster nodes. Although relay node has high energy, node energy eventually is limited, and how to improve the lifetime of the whole network is still a challenging problem.In this paper, we propose a new approach termed as DSA, it minimize the energy consumption of maximum energy dissipation relay node, which can greatly extend the lifetime of the Two-Tiered Sensor Network. The Main idea is that dividing the relay nodes into several layers at first and then choosing a best transfer path for every relay node at each layer to extend the lifetime of TTSN. We design an algorithm to implement the idea. The advantage of this novel algorithm in terms of complexity and its capability in extending the lifetime of TTSN has been analyzed in detail.Simulation results demonstrate significant improvements have been achieved in our method in terms of lifetime of TTSN.In order to balance the energy consumption of relay nodes, we combined intelligence Agent with DSA algorithm in this paper. Mobile intelligent Agent can move among the nodes and dynamicly monitor the energy consumption of current nodes. According to the energy consumption and the surplus energy situation of relay nodes, it can adjust the node routing in order to achieve the purpose of balancing node energy consumption, so as to maximize the lifetime of the network.Finally, the paper presents how to set up mobile intelligent Agent platform, and also presents the process of simulation. Simulation experiments show that compared with simple DSA algorithm, the DSA algorithm based on mobile Agent, has largly improves the network lifetime.