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Session 2A: Mobility Management

 

 

Title:

A Mobility and Congestion Resilient Data Management System for Mobile Distributed Networks

 

 

Author(s):

Ze Li, University of Arkansas, USA ; Haiying Shen, Clemson University, USA

 

 

Abstract:

Data sharing is one of the most popular applications which dominates $70\%$ of data traffic on the Internet. This application has been penetrating wireless mobile networks with dramatic speed, which allows the sharing of data whenever and wherever. However, traditional servers-clients data sharing model suffers from single point failure and low-scalable transmission in a highly dense and dynamic scenario. Distributed data sharing model (i.e. MANETs) is a promising alternative structure for flexible and distributed data sharing. However, the topology-based flooding employed in MANETs for data routing and querying prevents the data sharing system from achieving high scalability and robustness. Building a DHT on MANETs may reduce the data query overhead, but the inconsistency of the overlay and underlying topology may further compromise the performance. Geographic routing based data sharing systems in MANET reduce the data routing overhead. However, it induces more requirements (e.g. GPS) on the nodes. This paper presents a LOcality-based distRibuted Data sharing system (LORD) for mobility and congestion resilient data management. LORD consists of a DHT-based data index and retrieval protocol and a locality-aware region-based data routing protocol. It provides highly efficient, scalable and dynamism-resilient data sharing with low overhead. Moreover, it offers similarity data searching function. Theoretical analysis and simulation results show the superiority of LORD compared with other data sharing systems in terms of scalability, overhead and dynamism-resilience in a highly dense and dynamic MANET.

 

 

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