A Novel Weight Based Interest Forwarding Protocol for Information Centric Networking


  • Krishna Delvadia


ICN, ICN Routing, Weight based, Request forwarding, Named data networking


Information centric network (ICN) is a new communication paradigm that is introduced to satisfy the needs of internet users in context of throughput and delay. Content request routing is an important research domain of content centric network. If request is routed efficiently within network, then retrieval of desired content is possible in least duration with less overhead. This paper introduces a weight-based interest forwarding strategy that aims to route interest message towards content router (CR) having maximum likelihood of having desired data. This can significantly contribute in reduction of latency and overhead. The protocol exploits three different parameters namely interest packet forwarding ratio, size of node’s pending interest table (PIT) and count of data messages produced by router to take decision for interest packet forwarding. The experimental analysis of proposed strategy is done inside ndnSIM 2.0. The performance testing of state-of-the-art caching mechanisms with and without inclusion of proposed protocol in context of data discovery delay, overhead and content store (CS) hit ratio. We have also compared the integrated variants of protocols against recent existing forwarding protocols. The extensive simulation study proves that the coupling of proposed mechanism to existing mechanisms remarkably enhances the performance by 10-42%.


Download data is not yet available.


M. Aggarwal, K. Nilay, and K. Yadav. Survey of named data networks: future of internet. International journal of Information Technology (Singapore) 2017; 9:197–207.

H. Jin, D. Xu, C. Zhao, and D. Liang. Information-centric mobile caching network frameworks and caching optimization: a survey. Eurasip Journal on Wireless Communications and Networking 2017; 33:1-32.

G. Xylomenos et al. A Survey of information-centric networking research. IEEE Comm Surveys and Tuts 2014; 16:1024-1049.

F. Khandaker, S. Oteafy, H. S. Hassanein, and H. Farahat. A functional taxonomy of caching schemes: Towards guided designs in information-centric networks. Computer Networks 2019; 165:106937.

Lan Wang et al. OSPFN: An OSPF Based Routing Protocol for Named Data Networking. NDN Technical Report NDN-0003, July 2012.

K. M. Mahmudul Hoque et al. NLSR: Named-data link state routing protocol. In Proceedings of the 3rd ACM SIGCOMM workshop on Information-centric networking. China 2013; 15-20.

J. V. Torres, I. D. Alvarenga, R. Boutaba, and O. C. M. B. Duarte, “An autonomous and efficient controller-based routing scheme for networking Named-Data mobility”, Computer Communication., 2017;103:94-103.

C. Ghasemi et al. MUCA: New Routing for Named Data Networking. In IEEE IFIP Networking Conference (IFIPNetworking) and Workshops, Switzerland, 2018; 289–297.

N. Dutta. An approach for FIB construction and Interest packet forwarding in information centric network. Future Generation Computer Systems 2022; 130:269-278.

J. J. Garcia-Luna-Aceves. Name-based content routing in information centric networks using distance information. Proc. 1st ACM Conf. Inf.-Centric Netw., France, 2014; 7-16.

Banerjee, B., Seetharam, A., Mukherjee, A., & Naskar, M. K., “Characteristic time routing in information centric networks”, Computer Networks, 2017;113:148–158.

N. Dutta et al. Deep learning inspired routing in ICN using Monte Carlo Tree Search algorithm. Journal of Parallel and

A. Distributed Computing 2021; 150:104-111.

Narayanan et al., “DEEPCACHE: A deep learning based framework for content caching”, In Proc.of ACM SIGCOMM Workshop on Network Meets AI & ML, Hungary, 2018; 48–53.

R. Boutaba et al., “A comprehensive survey on machine learning for networking: evolution, applications and research opportunities”, Journal of Internet Services and Applications, 2018; 9:1-16.

N. Dutta et al. SVM-based Analysis for Predicting Success Rate of Interest Packets in Information Centric Networks. Applied Artificial Intelligence 2021; 36: 2020488.

K. Delvadia, N. Dutta, and R. Jadeja. CCJRF-ICN: A Novel Mechanism for Coadjuvant Caching Joint Request Forwarding in Information Centric Networks. IEEE Access 2021; 9:84134 - 84155.

X. Chen et al. Improving NDN forwarding engine performance by rendezvous-based caching and forwarding. Computer Networks 2018; 145:232-242.

G. Carofiglio et al.,”Joint forwarding and caching with latency awareness in information-centric networking,” Comput. Netw., 2016; 110: 133-153.

W. K. Chai et al. Cache ‘less for more' in information-centric networks (extended version). Comput. Commun. 2013; 36:758-770.

N. Laoutaris, H. Che, and I. Stavrakakis. The LCD interconnection of LRU caches and its analysis. Perform. Eval. 2006; 63:609-634.

Psaras,W. K. Chai, and G. Pavlou. Probabilistic in-network caching for information-centric networks. In Proc. ACM SIGCOMM ICN Workshop Inf.-Centric Netw., Finland 2012; 55-60.

Y. He et al. A caching strategy in content centric networks based on node's importance. Inf. Technol. J. 2014; 13:588-592.

N. Dutta. A bargain game theory assisted interest packet forwarding strategy for information centric network. Journal of Network and Computer Applications 2023; 209: 103546.

R. Chiocchetti, D. Rossi, and G. Rossini, ‘‘CcnSim: A highly scalable CCN simulator,’’ in Proc. IEEE Int. Conf. Commun. (ICC), Budapest, Hungary, Jun. 2013; 2309–2314.




How to Cite

Delvadia, K. . (2024). A Novel Weight Based Interest Forwarding Protocol for Information Centric Networking. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1380–1390. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5606



Research Article