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Table 1 Comparison of studies on data dissemination methods

From: Mobile user-preference-based data dissemination on mobile P2P networks

 

Approach

Advantage

Disadvantage

Flooding-based method [14, 15]

This ensures the data and queries for data are sent all over the network

Simple and classical method

data implosion, query overlaps, and resource blindness

Gossiping-based [16, 17]

Mobile users receiving the packet forward it only to a single randomly selected neighbor, instead of sending it to all neighbors.

It avoids the problem of implosion and it does not waste as much network resources as flooding does.

Some mobile users in the large network may not receive the message, since the neighbor is selected randomly.

RBB [6, 7]

RBB algorithm ranks reports to discover local spatial-temporal resources in highly mobile environments.

To prevent overhead of existing flooding methods, to reduce redundancy of data dissemination

high communication overhead, unnecessary computation

Our proposed model

Mobile User-preference-based Data Dissemination method

Data dissemination of high accuracy, high data throughput, low computation

Size of training matrix