Adaptive Clustering Algorithm for Data Accessibility in Ad Hoc Networks

Abstract — Mobile Ad Hoc Network is a collection of mobile nodes forming an ad hoc network without the assistance of any centralized structures. There are many algorithms to improve data accessibility and reduce delay in MANETs. The basic idea is to distributively group mobile nodes with similar mobility pattern into a cluster, which can then interchangeably share their resources for overhead reduction and load balancing, aiming to achieve efficient and scalable routing in MANET. Due to lack of continues communication Distributed Adaptive Clustering Algorithm (DACA) is proposed to further improve the performance of data accessibility and reduce delay. The experimental results in the NS-2 simulation environment demonstrate that the proposed approach achieves higher delivery ratio and significantly lower overhead compared with its non-clustering counterpart. Keywords-MANETs, Cluster, data accessibility, routing, quer