Authors: Rui Ma; Yue Liu; Ke Ma; Xu An Wang
Addresses: Beijing Key Laboratory of Software Security Engineering Technology, School of Software, Beijing Institute of Technology, Beijing, China ' Beijing Key Laboratory of Software Security Engineering Technology, School of Software, Beijing Institute of Technology, Beijing, China ' Internet Center, Institute of Communication Standard Research, China Academy of Information and Communication Technology, Beijing, China ' Key Laboratory of Information and Network Security, Engineering University of CAPF, Xi'an, Shanxi, China
Abstract: Identification and addressing the entity which accesses the internet through the wireless network with various short distance transmission protocols is a key issue. To solve the problem, by combining with the existing identification and addressing technology of the internet and the IOT, this paper proposes a method based on distributed ID. This method can be divided into two stages. It first designs the structure of distributed ID. Using the distributed address allocation algorithm, it implements the automatic allocation of the distributed ID as well as the distributed ID resolution among the global IOT. After that, an addressing scheme is designed to meet demands of the IOT addressing. It first defines the structure of addressing and then implements the routing addressing algorithm which combines the cluster-tree algorithm with the ad hoc on-demand distance vector routing algorithm. This scheme could improve the routing efficiency as well as achieve lower cost, lower energy consumption and higher reliability of the addressing. By the simulation on NS-2 platform, the experimental results highlight the feasibility and effectiveness of the proposed method from three aspects: the correctness of identification allocation, the effectiveness of addressing scheme, and the stability of data transmission.
Keywords: internet of things; identification; addressing; AODV; cluster-tree.
International Journal of Embedded Systems, 2020 Vol.12 No.2, pp.195 - 205
Received: 28 Jan 2016
Accepted: 01 Dec 2016
Published online: 10 Mar 2020 *