Quantized Routing Models for Clustering Scheme in Wireless Sensor Networks

AbstractClustering routing protocols are effective topology approaches which can increase the scalability of wireless sensor networks and efficiently utilize the limited energy resources of the sensors. However, the loading or energy consumption of sensors in networks is heterogeneous so that some sensors may die earlier than the others. In this case, data from sensors will not be delivered properly to the base station. Many previous studies have focused on energyefficient routing protocols to prolong the network lifetime without considering the influences of transmitting range or availability of compression. In this paper, we propose quantized models to simulate the operations of clustering routing protocols and evaluate the energy consumption of networks as well as the load distribution of sensors. Besides, the cluster head selection algorithm is developed correspondingly. The comparison of data reception rate for LEACH with our model in cases of different compression rates by simulations is also presented