Abstract | ||
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This paper proposes an adaptive and resource efficient data broadcast scheme in mobile P2P system. We define a new data broadcast model called trustworthy-based estafet multi-point relays (TEMPR) to disseminate messages among peers. This model aims to minimize the communication overhead between peers, and together with the existing models, i.e. multipoint relaying (MPR) and Pure-flooding approach, we formulate the cost models and examine the most efficient method to apply in different conditions while considering the latency cost and resource utilizations of the methods. We also consider the notion of trust in the system whereby only those trustworthy peers are eligible to relay messages to other peers. As such, the dissemination of messages between peers can be performed in the most efficient and trustworthy manner. The performance of the three relay models with respect to energy consumption and latency cost has been studied. It is affirmed that the TEMPR model offers significant energy efficiency as compared to its predecessors, and with support from our adaptive method, the TEMPR is able to shorten the latency following the priority-based scheduling mechanism. |
Year | DOI | Venue |
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2011 | 10.1109/WAINA.2011.75 | AINA Workshops |
Keywords | Field | DocType |
adaptive method,efficient data dissemination,energy consumption,new data broadcast model,mobile p2p environments,latency cost,resource efficient data broadcast,p2p system,existing model,efficient method,cost model,tempr model,data dissemination,computer network security,p2p,innovative,decision support system,resource allocation,decision support systems | Broadcasting,Computer science,Latency (engineering),Efficient energy use,Scheduling (computing),Network security,Computer network,Dissemination,Resource allocation,Relay,Distributed computing | Conference |
Citations | PageRank | References |
6 | 0.53 | 11 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Agustinus Borgy Waluyo | 1 | 426 | 25.06 |
David Taniar | 2 | 1702 | 162.18 |
Bala Srinivasan | 3 | 1076 | 191.20 |
J. Wenny Rahayu | 4 | 1275 | 106.72 |
Makoto Takizawa | 5 | 3180 | 440.50 |