Hierarchical search-based routing protocol for infrastructure-based opportunistic networks

Q4 Mathematics
Deepak Sharma, S. K. Dhurandher, Shiv Kumar
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引用次数: 1

Abstract

Opportunistic networks (OppNets) consist of intermittently connected devices where there is no guarantee that a predefined path from source to destination for message transmission exists. In such a sparsely connected network where nodes relay messages in an opportunistic manner, designing a routing protocol is a challenging task. In this paper, a novel routing protocol for infrastructure-based OppNets called the hierarchical search-based routing protocol (HSBRP) has been proposed. This protocol combines the benefits of both fixed and mobile routing techniques, combating the disadvantages posed by each, to give better performance on a multitude of performance metrics like, no single point of failure, fault detection and communication capacity, etc. In the proposed protocol, nodes are arranged in a hierarchical fashion and interactions between different levels of nodes are only allowed through well-defined rules that boost message delivery probability and reduce the overhead of the network.
基于基础设施的机会网络的分层搜索路由协议
机会网络(OppNets)由间歇性连接的设备组成,在这种网络中,不能保证存在从消息源到目的地的预定义路径。在这样一个节点以机会主义方式中继消息的稀疏连接网络中,设计路由协议是一项具有挑战性的任务。本文提出了一种新的基于基础设施的OppNets路由协议——分层搜索路由协议(HSBRP)。该协议结合了固定路由技术和移动路由技术的优点,克服了各自的缺点,在许多性能指标上提供了更好的性能,如无单点故障、故障检测和通信容量等。在提出的协议中,节点以分层方式排列,并且只有通过定义良好的规则才能允许不同级别节点之间的交互,从而提高消息传递概率并减少网络开销。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
23
期刊介绍: IJICA proposes and fosters discussion on all new computing paradigms and corresponding applications to solve real-world problems. It will cover all aspects related to evolutionary computation, quantum-inspired computing, swarm-based computing, neuro-computing, DNA computing and fuzzy computing, as well as other new computing paradigms
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