Performance of Improved Directed Diffusion Protocol for Sensor Networks under Different Mobility Models

Abstract

Problem statement: In sensor networks, some routing protocols performance differs under different mobility models. In ns2, there are two kinds of directed diffusion protocols, rate based gradient mechanism (diffusion/rate) and probability based gradient mechanism (diffusion/prob). In this research, we proposed a method to improve the performance of Directed diffusion/prob protocol by adding a new interest message propagation mechanism and analyzed the protocol under different mobility models. Approach: In this study, we describe a method for increasing the performance of diffusion/prob protocol and reduce the overhead with varying node speed and under different mobility models. We carried out the work using network simulator (ns2) and observed the performance improvement. Results: The performance of the proposed protocol is evaluated in terms of power consumption, overhead and routing load with Random way point, Random point group and Manhattan mobility models. Moreover, it is been compared with the normal diffusion/prob protocol. Conclusion: We have successfully implemented the proposed diffusion/prob protocol and compared it with other diffusion protocols with different metrics. We hereby conclude that it will be suitable for mobile scenario and the performance of the protocols are varied on different mobility models.