High Impact Factor : 4.396 icon | Submit Manuscript Online icon | UGC Approved icon

Information Sharing System for Human Network


Aishwarya Shenoy , Atharva College of Engineering, Malad(W).; Ojas Patharkar, Atharva College of Engineering, Malad(W).; Shrunkita Patil, Atharva College of Engineering, Malad(W).; Chanda Chouhan, Atharva College of Engineering, Malad(W).


Content-based publish/subscribe, interest-driven information sharing, human network, bloom filter


With fast-growing consumer demands and rapidly-developing mobile technologies, portable mobile devices are becoming a necessity of our daily lives. However, existing mobile devices rely on the wireless infrastructure to access Internet services provided by central application providers. This architecture is inefficient in many situations and also does not utilize abundant inter device communication opportunities in many scenarios. This paper proposes the human network (HUNET), a network architecture that enables information sharing between mobile devices through direct inter device communication. We design B-SUB, an interest-driven information sharing system for HUNETs. In B-SUB, content and user interests are described by tags, which are human-readable strings that are designated by users. An experiment is performed to demonstrate the effectiveness of this tag-based content description method. To facilitate efficient data dissemination, we invent the Temporal Counting Bloom filter (TCBF) to encode tags, which also reduces the overhead of content routing. Comprehensive theoretical analyses on the parameter tuning of B-SUB are presented and verify B-SUB’s ability to work efficiently under various network conditions. We then extend B-SUB’s routing scheme to provide a stronger privacy guarantee. Extensive real-world trace-driven simulations are performed to evaluate the performance of BSUB, and the results demonstrate its efficiency and usefulness.

Other Details

Paper ID: NCTAAP122
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/02/2016
Page(s): 521-523

Article Preview

Download Article