Named Data Networking (NDN) is a promising Internet architecture paradigm of the future that adopts the Content Centric Networking (CCN) approach. Applications and users only care about the contents, while the Internet protocol (i.e., TCP/IP) focuses on communication by specifying and discovering the device location, which makes it more difficult and limiting. NDN supports the efficient distribution of the content, and secures the content rather than securing data channels. The forwarding mechanism in NDN-based wireless networks including MANET, WSN, VANET, and WMN are very important for efficient communication. NDN provides us a robust and simple communication mechanism. Two types of packets are exchanged over the networks in NDN forwarding: INTEREST and DATA. In this paper, a detailed survey is provided regarding forwarding strategies and forwarding issues in NDN/CCN based MANETs, VANETs, WSNs, and WMNs. Future challenges regarding forwarding in wireless environment are also highlighted.

Forwarding Strategies in NDN-Based Wireless Networks: A Survey

Information-Centric Networking solutions for the Internet of Things: A systematic mapping review

Vehicle-to-vehicle communication assists road-side information exchange granting ease of access and sharing between users. The communication between the vehicles is short-lived due to interference and data congestion in the resource constraint medium. This manuscript introduces a linear adaptive congestion control (LACC) augmenting the benefits of greedy routing and data dissemination model (DDM). LACC focuses on selecting beneficiary vehicle by assessing its end-to-end service capacity and link stability preference. Different from the conventional greedy approach, routing is aided by a linear integer programming module for smart decisions on neighbor selection. The interrupts in data transmission and forwarding due to non-localized vehicles, congested routing paths and paused transmissions are addressed using LACC as a series of linear optimization. This helps to improve the performance of vehicular communication estimated using delay, message delivery, outage, and beacon messages.

LACCVoV: Linear Adaptive Congestion Control With Optimization of Data Dissemination Model in Vehicle-to-Vehicle Communication

Evolving of the internet infrastructure nowadays, have been worried will brought the network in to collapse, due to misconduct of internet implementation since the beginning NDN bring second wind to implementation of data communication for an internet Routing as one of the important factor is explored and classified in this paper This paper critically discusses the classification of NDN routing plane researches by surveying the current literature and presenting its research objective Major challenges and opportunities are also highlighted, serving as guidelines for the state of the art of NDN routing future research

Routing in NDN network: A survey and future perspectives

Content-centric networking (CCN) becomes an imminent Internet architecture that emphasizes the data-centric approach for information retrieval instead of searching for the hosts in the network. CCN offers data (content) caching and its distribution capabilities to reduce average latency, the load of data servers, and improve network bandwidth utilization during content delivery. In this direction, the performance of node degree centrality and distance-based autonomous caching strategies have been investigated. Then, a novel content caching strategy called content placement based on normalized node degree and distance (CPNDD) is proposed. The CPNDD scheme considers content provider distance and node degree centrality parameters together to select the optimal cache locations for comprehensive utilization of the available caching capacities and a further reduction in average latency during content retrieval. The weights for these caching parameters have been determined via widespread simulations on the Abilene networks. The proposed caching scheme is implemented and tested in the simulated environment of ndnSIM and compared with peer competing schemes in CCN. The execution outcomes are examined for different caching capacities (50 and 100), Zipf popularity skewness factors (0.7 and 1.0) and request rates (50/s and 100/s). The simulation executions illustrate that CPNDD caching strategy escalates the cache hit probability and hop-reduction ratio up-to $$8\%$$
 and $$9\%$$
 as compared to existing schemes. Hence, the proposed content placement scheme improves the performance of CCN networks considerably and makes it suitable for the applications of Industry 4.0.

An efficient content placement scheme based on normalized node degree in content centric networking

The future internet will include a variety of heterogeneous wireless networks and all kinds of smart sensors connected over wireless links. The size and cost constraints on sensor nodes result in corresponding constraints on resources such as energy, memory, computational speed and communications bandwidth which in turn limits the processing and communication capabilities of the sensor nodes. Named data networking (NDN) emerged as a promising new routing mechanism aimed to cope with the increasing number of heterogeneous networks and the need for efficient and robust data dissemination. But, one of the bottlenecks that hinders the full applicability of such a NDN-based approach to the future internet is the energy requirements. In this study, we propose a novel geographic interest forwarding scheme where we add support for push-based traffic and different forwarding techniques designed to balance the energy consumption across the network. Our simulation results show that our proposed approach is more scalable and outperforms the alternative methods in term of data retrieval delay and overall energy consumption.

Efficient forwarding strategy in a NDN-based internet of things

Named Data Networking (NDN) has emerged as a new and promising information-centric architecture for the future Internet that is also gaining momentum in Wireless Sensors Networks (WSNs) as an alternative paradigm to traditional IP. However, the main solutions in current works lack energy efficient design to meet the severely limited energy resources in WSNs. Moreover, the NDN architecture cannot natively allow devices to transmit unsolicited data, like alarms or status changes unless to properly modify the semantics of exchanged packets and the forwarding strategy. In this paper, we propose a Geographic Interest Forwarding scheme called GIF in short, for NDN-Based WSNs. In this proposal, we added support for push-based WSN traffic. We further extend the scheme with an efficient forwarding techniques in which several energy efficient mechanisms including flooding scope control, broadcast storm avoidance, packet suppression are designed to balance the energy consumption across the network. We extend the ndnSIM to support wireless multihop communication to validate the proposed scheme. Simulation experiments confirm the viability and effectiveness of the proposal.

Geographic interest forwarding in NDN-based wireless sensor networks

Named data networking (NDN) has emerged as a promising communication paradigm, proposed to deal with the shortcomings of the traditional IP‐based model. NDN introduces new name‐based routing, receiver‐based service, caching, and self‐certifying contents features that obviously improve data delivery efficiency and reliability. Moreover, NDN offers lightweight forwarding rules that suits constrained devices. These features makes NDN as highly promising communication model for the Internet of Things (IoT). On the other hand, one of the widely adopted networking specification for IoT is the IEEE 802.15.4 standard. This latter proposes interesting energy saving functionalities. To take full advantages of the two technologies, we propose an NDN over IEEE 802.15.4 communication solution that meets the requirements of low‐data rate and low‐power‐consumption monitor and control IoT applications. The proposed solution includes two modules: a reliable energy‐aware forwarding strategy that selects the next hop forwarder based on its residual energy level and a sleep mode scheduling algorithm that schedules the sleep/wake‐up mode according to the role of the node in the forwarding and the path repair processes. Extensive simulations and analyses have been conducted to confirm the viability and effectiveness of our proposal in terms of energy consumption, network lifetime, delivery ratio, retrieval delay, and scalability.

Named Data Networking-based communication model for Internet of Things using energy aware forwarding strategy and smart sleep mode

VANETs are characterized by the rapid changes in network topology due to their random movement patterns and their high-speed mobility. Hence, the support of efficient mobility management solutions become an important feature in VANET. Most of VANET applications need internet access almost everywhere and at any time without interruption. Thus, ensuring a seamless connection and enhanced throughput performance requires an improved handover strategy. In this paper, we introduce a new hand over optimization method for the 5G cellular network. A mobility prediction algorithm coupled with previous handover events logs was used to predict when and where the handover will occur in the network. In the proposed work, we aim to minimize the number of handover events without degrading network performance. A simulation-based performance study was conducted to evaluate the effectiveness of the proposed methods, and the results were compared to the 3GPP conventional handover solution. It was found that our proposed solution reduces the number of handover events without affecting the network quality.

Handover Optimization for VANET in 5G Networks

Power consumption and network lifetime optimization is an essential performance objective for the IoT networks. Since the devices in this type of networks are mostly battery powered with a limited battery life, energy saving strategies becomes vital for such systems operation. Typically, the standard sleep mode of the 802.15.4 protocol is used in order to reduce the power usage of the sensors in an IoT network. However, enabling the sleep mode function in an IoT device that utilizes the Named Data Networking (NDN) paradigm is challenging. In this paper, we propose a power saving extension for the Geographic Interest Forwarding (GIF) protocol. In the proposed E-GIF scheme, a cross-layer approach is used, which allows direct communication between protocols at nonadjacent layers. More precisely, the interactions between the MAC and the Routing layers are fully exploited in order to integrate the sleep mode into the forwarding decision of the sensor nodes that uses the NDN protocol stack. To validate the proposed scheme, we extend the ndnSIM simulator to support wireless multihop communication. Simulation experiments confirm the viability and the effectiveness of the proposal.

Ahmed Aboud

Papers

Efficient forwarding strategy in a NDN-based internet of things

Geographic interest forwarding in NDN-based wireless sensor networks

Named Data Networking-based communication model for Internet of Things using energy aware forwarding strategy and smart sleep mode

Handover Optimization for VANET in 5G Networks

Power Saving Extension for the NDN-Based GIF Protocol for the Internet of Things