The Optimization And Reach Of Routing Protocol And Algorithm For Wireless Sensor Network

Wireless sensor networks as a new access to information technology, has become a hot topic in the field of communications, with a more broad application prospects. But because the sensor nodes use battery-powered, the energy of nodes is more restricted, therefore, the energy consumption of nodes in the network has become the most important issue of how to design low-power sensor network routing algorithm becomes a difficult task.In the existing problems of Routing protocol for wireless sensor networks, a detailed analysis of two classic low-power routing protocols-LEACH and PEGASIS of their characteristics, operation mechanism and two improved protocols LEACH-center and LEACH-energy, and more in-depth understanding and analysis. Finally, this paper, proposed a new and improved routing algorithm APLe (Adaptive PEGASIS & LEACH-energy) based on LEACH-energy and PEGASIS.APLe algorithm is periodically executed in accordance with its execution unit is "round" APLe algorithm in the communication cycle in each round also includes the main building and a stable cluster data in two stages, in the first stage of each round of LEACH protocol similar to random clustering strategy, and then the remaining energy of cluster nodes selected as the final maximum "leadership nodes", the last in each cluster according to PEGASIS algorithm to generate chain structure. Therefore, the algorithm embodies the PEGASIS agreement the great advantages of saving energy consumption, but also with LEACH-energy static clustering idea, a good solution to PEGASIS protocol network transmission delay and a single large "lead node" communication with the Sink the bottleneck problem.Finally, this paper experimental simulation and analysis form the survival of the number of nodes in the network, network delay and energy consumption aspects. The simulation results show that, APLe algorithm can effectively extend the network lifetime, saving energy consumption, a better solution to the LEACH and PEGASIS algorithmic deficiencies and reached to purpose of the algorithm improvement.