Producer mobility support scheme for indirection-based mobility approach in named data networking

Named Data Networking (NDN) is a clean-slate future Internet architecture proposed to support content mobility by using hierarchical naming instead of IP addresses for routing. The hierarchical naming structure of NDN offers more benefits in supporting consumer mobility. However, the movements of producer inflict changes in routing name prefix hierarchy, which makes the entire network unaware of the new location of the producer. Thus, it causes some significant challenges, such as unnecessary Interest packet losses, high handoff latency, high signaling overhead cost, poor utilization of bandwidth, and path stretching. The aim of this research is to propose a Producer Mobility Support Scheme (PMSS) in order to minimize the handoff latency, signaling cost, improve data packets delivery via optimal path once a content producer relocated. The proposed PMSS model includes the formulated Mobility Weighted Function to incorporate movement behavior of the mobile producer. Also, Mobility Interest packet was designed to convey binding information and Broadcasting Strategy to facilitate handoff processes by updating the intermediate routers. Therefore, modeling and simulation methodologies were used in the design and performance evaluation of PMSS for rigorous investigation. The analytical result of PMSS scheme outperforms Optimal Producer Mobility for Larger-scale scheme with 50% lower handoff latency and signaling cost. Moreover, it minimizes 46% handoff signaling cost and improves 32% data path optimization as compared to the Kite scheme. The simulation results show that the proposed PMSS scheme minimizes 40% handoff latency, 28% packets delay, 28% unnecessary Interest packets loss, and improves 20% throughput. This study contributes to the development of the movement behavior model and mobility update packets. The findings have significant implication to support seamless mobility and the integration of NDN with other networks without additional mechanism

Named Data Networking in Vehicular Ad hoc Networks: State-of-the-Art and Challenges

International audienceInformation-Centric Networking (ICN) has been proposed as one of the future Internet architectures. It is poised to address the challenges faced by today's Internet that include, but not limited to, scalability, addressing, security, and privacy. Furthermore, it also aims at meeting the requirements for new emerging Internet applications. To realize ICN, Named Data Networking (NDN) is one of the recent implementations of ICN that provides a suitable communication approach due to its clean slate design and simple communication model. There are a plethora of applications realized through ICN in different domains where data is the focal point of communication. One such domain is Intelligent Transportation System (ITS) realized through Vehicular Ad hoc NETwork (VANET) where vehicles exchange information and content with each other and with the infrastructure. To date, excellent research results have been yielded in the VANET domain aiming at safe, reliable, and infotainment-rich driving experience. However, due to the dynamic topologies, host-centric model, and ephemeral nature of vehicular communication, various challenges are faced by VANET that hinder the realization of successful vehicular networks and adversely affect the data dissemination, content delivery, and user experiences. To fill these gaps, NDN has been extensively used as underlying communication paradigm for VANET. Inspired by the extensive research results in NDN-based VANET, in this paper, we provide a detailed and systematic review of NDN-driven VANET. More precisely, we investigate the role of NDN in VANET and discuss the feasibility of NDN architecture in VANET environment. Subsequently, we cover in detail, NDN-based naming, routing and forwarding, caching, mobility, and security mechanism for VANET. Furthermore, we discuss the existing standards, solutions, and simulation tools used in NDN-based VANET. Finally, we also identify open challenges and issues faced by NDN-driven VANET and highlight future research directions that should be addressed by the research community