Using known vectors to improve data dissemination in opportunistic networks. (16th October 2014)

• Record Type: Journal Article
• Authors: Huang, Jyh–How; Chen, Ying–Yu; Tung, Li–Ping; Chen, Ling–Jyh
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 17:Number 1(2014)
• Page Start: 59
• Page End: 69
• Publication Date: 2014-10-16
• Subjects: opportunistic networks -- DTN routing -- delay tolerant networks -- ad–hoc networks -- wireless network routing -- wireless networks -- known vectors -- data dissemination -- meta–message exchanges -- data transmission -- routing protocols -- energy efficiency; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

Abstract

An opportunistic network is a type of challenged network in which contacts are intermittent, an end–to–end path rarely exists between the source and the destination, disconnection and reconnection are common occurrences, and link performance is highly variable or extreme. Conventional methods of data dissemination in opportunistic networks rely on a meta–message exchange scheme, called the summary vector (SV), to prevent redundant transmission of data bundles that already exist on receivers. We consider that the SV scheme is costly in terms of the data transmission overhead, which is unaffordable in opportunistic networks. Hence, we propose an alternative scheme, called the known vector (KV), to improve the efficiency of meta–message exchanges for data transmission in opportunistic networks. Using a comprehensive set of simulations with realistic network scenarios, we demonstrate that the KV scheme can be easily integrated into existing opportunistic network routing protocols (e.g., Epidemic and PRoPHET routing). Moreover, it can reduce the communication overhead significantly, thereby improving energy efficiency for data transmission in opportunistic networks.