A Novel Routing Based on OLSR for NDN-MANET

Xian, Guo; Yang, Shu; Cao, Liqin; Jing, Wang; Jiang, Yongbo

doi:10.1007/978-3-030-52249-0_47

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…In another research, Xian Gao et al [68] presented the improvement of the already proposed routing technique [100] named as "Named Optimized Link State Routing Protocol" (NOLSR) which is a proactive routing protocol based on the link-state Algorithm. This protocol introduces a novel neighbor discovery that provides unidirectional link detection.…”

Section: B Link State Routingmentioning

confidence: 99%

Named Data Networking: A Survey on Routing Strategies

et al. 2022

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Data has become an increasingly significant component of the Internet as it has increased in popularity. Where people care more about the data than the location of data. The Named Data Network (NDN) took this concept and paired it with the idea of making data a core component rather than host addresses. Because of its in-network caching capability, NDN will become a better contender than current Transmission Control Protocol and Internet Protocol (TCP/IP) based networks as data traffic grows exponentially. NDNrelated challenges are available for investigation as NDN becomes more important. Routing in NDN is another essential domain that needs to be addressed, and several approaches have been presented to address routing concerns in NDN. In this study, we discuss and highlight NDN and its routing strategies comprehensively. In addition, this research illustrates a comparison of important routing paradigms to emphasis the breadth of routing research in NDN. Also, we investigate the routing attributes of NDN and expose the latest literature on this critical topic. Finally, this study provides useful insights into the emerging areas of guidance in the NDN to assist future studies in addressing challenges and open research issues. INDEX TERMSNamed Data Networks, Open Research issues in NDN, Routing in NDN I.

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Section: B Link State Routingmentioning

confidence: 99%

Named Data Networking: A Survey on Routing Strategies

et al. 2022

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“…Guo et al, 34 introduced the novel OLSR‐based routing NDN‐MANET. At NOLSR, a neighbor detection protocol was introduced to find a symmetric link to establish the MPR set.…”

Section: Literature Surveymentioning

confidence: 99%

Proficient link state routing in mobile ad hoc network‐based deep Q‐learning network optimized with chaotic bat swarm optimization algorithm

Rahul¹,

Kaarthick²

2022

Int J Communication

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Mobile ad-hoc network (MANET) is a category of ad-hoc network that can be reconfigurable its network. MANETS are self-organized networks, that can use the wireless links to connect various networks via mobile nodes: but it consumes more energy and it also has routing problems. This is the major drawback of being connected with the MANET technology. Therefore, this study proposes a new protocol as deep Q-learning network optimized with chaotic bat swarm optimization algorithm (CBS)-based optimized link state routing (OLSR) (CBS-OLSR) for MANET. This protocol reduces MANET energy usage and adopts OLSR multi-point relay (MPR) technology. MANET's OLSR and the CBS algorithm utilize a similar method to locate the best optimum path from source to destination node. By embedding the new improved deep Qlearning and OLSR algorithms, both are used for optimizing the MPR sets selection, it can efficiently diminish the energy consumption in the network topology, but automatically increase the lifespan of the network. It also enhances the package delivery ratio and decreases end-to-end delay. The experimental outcomes prove that the proposed protocol is reliable and proficient that is appropriate for numerous MANET applications. K E Y W O R D Schaotic bat swarm optimization, deep Q-learning algorithm, end-to-end delay, mobile adhoc network, MPR (multi-point relay), optimized link state routing, packet delivery rate | INTRODUCTIONMANET is an autonomous system that consists of individually connected set of self-configuring nodes that is implemented using a number of techniques, viz Bluetooth or WLAN. 1 The feature of MANET is autonomous, due to every node treating its host and router simultaneously. 2 To communicate among the distant nodes, they depend on direct communication with multi-hops. These advantages allow them to accommodate multiple nodes and decentralize management with its structure at any time. 3 Unlike other wireless systems, MANET has lack of central authority to monitor traffic transmission. 4 MANET systems have an infrastructure with a lesser configuration of corresponding nodes that are connected by wireless connections. The nodes are moving spontaneously or rather in a random section. 5 From node to network level, security in MANETs is important. 6 Owing to the dynamic nature of MANETs, there needs to be an acceptable level of trust. 7,8 Due to the dynamic nature and characteristics of MANETs, security on the MANET is more challenge

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