Composite mechanisms for improving Bubble Rap in delay tolerant networks

The Journal of Engineering

Nikhitha Kishore¹  Vasco N.G.J. Soares¹  Sweta Jain²  Meenu Chawla² 

[1] Engineering, Maulana Azad National Institute of Technology, Bhopal, India;Department of Computer Science &Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal

关键词: delivery ratio;    end-to-end connectivity;    performance improvement;    node movements;    similarity;    social-based metrics;    opportunistic network environment simulator;    composite mechanisms;    bubble rap improvement;    pocket switched networks;    mobile ad hoc networks;    community;    social-based forwarding algorithms;    DTN;    delay tolerant networks;    network graph;    centrality;    message forwarding;    routing protocols;   

DOI  :  10.1049/joe.2013.0117

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

Delay tolerant networks (DTNs) are a subset of mobile ad hoc networks where connections are sparse and intermittent. This often results in a network graph which is rarely connected which introduces a challenge in message forwarding because of a lack of end-to-end connectivity towards the destination. Recently, social-based forwarding algorithms are gaining popularity because of the social nature displayed by the node movements in a DTN, especially in application areas like the pocket switched networks. The social-based metrics like community, similarity, centrality etc. are used to determine the carrier to which a node has to forward its message. Composite methods are used to improve the performance of Bubble Rap social-based forwarding algorithm. In the proposed mechanism, a new social metric termed ‘friendship’ has been introduced along with a time-to-live (TTL)-based ‘threshold’ and acknowledgement (ACK) IDs. Real trace data and working day movement models are used for simulations in the opportunistic network environment simulator to demonstrate that the proposed algorithm gives better delivery ratio than the original Bubble Rap algorithm.

【 授权许可】

CC BY