A Realistic Deployment of Named Data Networking in the Internet of Things

Authors

  • Amar Abane LARI Lab. University Mouloud Mammeri of Tizi-Ouzou, Algeria
  • Mehammed Daoui LARI Lab. University Mouloud Mammeri of Tizi-Ouzou, Algeria
  • Samia Bouzefrane CEDRIC Lab. Conservatoire National des Arts et Métiers, Paris, France
  • Soumya Banerjee CEDRIC Lab. Conservatoire National des Arts et Métiers, Paris, France
  • Paul Muhlethaler Inria EVA, Paris, France

DOI:

https://doi.org/10.13052/jcsm2245-1439.911

Keywords:

ICN, NDN, IoT, Smart Agriculture, Wireless Mesh Networks, IEEE 802.15.4

Abstract

IP has been designed for Internet decades ago to connect computers and share expensive resources such as tape drives and printers. Nowadays, Internet of Things and other emerging applications use Internet to fetch and exchange content such as monitoring data and movies. This content-centric use of Internet highlights the limitations of the IP architecture. IETF Working Groups spend significant efforts to adapt the traditional IP stack to IoT systems, but the shortcomings of IP remain difficult to hide. In this context, the recently emerged Named Data Networking (NDN) architecture promises a better support of IoT systems and future Internet applications. This paper describes a realistic IoT architecture based on NDN. In practice, an integration of NDN in IoT devices over low-power wireless technologies is designed, deployed and evaluated considering a Smart Farming application scenario. This work aims to show that NDN is more suitable than IP for IoT systems, by giving another look at IP-based solutions for the IoT such as 6LoWPAN. For that, we design a simple packet compression scheme and a lightweight forwarding strategy that is compliant with the NDN vision while managing constrained devices. Evaluation result demonstrate the flexibility of NDN to support IoT environments.

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Author Biographies

Amar Abane, LARI Lab. University Mouloud Mammeri of Tizi-Ouzou, Algeria

Amar Abane is a PhD student at the University Mouloud Mammeri of Tizi- Ouzou, Algeria and Conservatoire National des Arts et M´etiers of Paris, France. After his MS degree in Networking and Embedded Systems, he was involved in the French-Algerian PHC Tassili project to design a realistic Named Data Networking integration in the Internet of Things. Around his PhD work, he collaborated with Inria, Telecom ParisTech, and NIST. He is also a Web and IoT developer. His research activities focus on enabling NDN in low-power wireless networks, and adapting popular IoT technologies (e.g., IEEE 802.15.4) for future Internet solutions. He is currently working on network telemetry and management systems at the National Institute of Standards and Technology, USA.

Mehammed Daoui, LARI Lab. University Mouloud Mammeri of Tizi-Ouzou, Algeria

Mehammed Daoui obtained his accreditation to research conduction in 2012. He is Research Director at the LARI Laboratory and professor at the University Mouloud Mammeri of Tizi-Ouzou, Algeria. He is involved in several research areas related to networks, embedded systems and IoT.

Samia Bouzefrane, CEDRIC Lab. Conservatoire National des Arts et Métiers, Paris, France

Samia Bouzefrane is Professor at the Conservatoire National des Arts et M´etiers of Paris. She received her PhD in Computer Science from the University of Poitiers, France in 1998. After 4 years at the University of Le Havre, France, she joined the CNAM in 2002. She is the co-author of many books (Operating Systems, Smart Cards, and Identity Management Systems). She is a lead expert in the French ministry, and is involved in many scientific workshops and conferences. Her current research areas cover security in Internet of Things, resource allocation in Cloud Computing, and new paradigms for networking such as NFV and NDN.

Soumya Banerjee, CEDRIC Lab. Conservatoire National des Arts et Métiers, Paris, France

Soumya Banerjee completed his PhD from Birla Institute of Technology, India on Stigmergic Optimization With Hybrid Intelligence in 2009. He did spend more than 2 years with Microsoft Research at Seattle, USA as summer school fellow. He was associated as senior programmer capacity in ISRO and served as project leader in Cognizant Technology Solution, ICICI InfoTech both in India, South-East Asia and Europe. He is also an active project participant and consultant in IRIDIA, Belgium, and Simula lab Norway. In 2017, he was visiting professor at CNAM and Inria, France on various machine learning and IoT security projects. He is a research consultant of Morpho, Saffron technologies, Startupbook Paris and Yahoo Research, Spain on security and ML.

Paul Muhlethaler, Inria EVA, Paris, France

Paul Muhlethaler received his PhD in 1989 from the University Paris Dauphine and his research supervision qualification in 1998. He started at Inria in 1988 where he is now a research director. His research topics focus on protocols for networks, with a speciality in wireless networks. He has worked extensively at ETSI and IETF for the HiPERLAN and OLSR standards, and he was one of the authors of the first draft of the OLSR protocol in 1997. He is currently taking a keen interest in European standardization for vehicular networks. Another important aspect of his activity concerns models and performance evaluations. He was the first researcher to carry out optimizations of CSMA protocols in Multihop Ad Hoc Networks, thereby highlighting the importance of such optimizations. In 2004, he received the prestigious “Science et D´efense” award for his work on Mobile Ad Hoc Networks.

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2019-11-28

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