Periodic Intermittently Connected-Based Data Delivery in Opportunistic Networks

2014 ◽  
Vol 24 (3) ◽  
pp. 507-525 ◽  
Author(s):  
Lei WU ◽  
De-An WU ◽  
Ming LIU ◽  
Xiao-Min WANG ◽  
Hai-Gang GONG
2012 ◽  
Vol 3 (2) ◽  
pp. 28-35
Author(s):  
Shivan Fazil Kurdi

In Opportunistic Networks (OppNets) nodes are only intermittently connected. A complete path from the sender node to the receiver does not exist. Mobile objects exploit direct contact for message transmission without relying on an existing end to end infrastructure. In such networks, routing is a challenging issue. Nevertheless, routing protocols in the mobility-based class of OppNets exploit some context information such as node mobility information and patterns to make forwarding decision, since the effectiveness of routing depends on node mobility. The aim of this research is to identify, evaluate, and compare the mobility-based routing algorithms of OppNets based on the simulation results obtained from published literature. The research findings indicate that mobility-based algorithms are suitable for conditions where network bandwidth and devices are considered significant constraints. They provide average delivery ratio with less resource consumption. In brief, they are ideal when network traffic and resource consumption are taken into consideration.


2013 ◽  
Vol 61 (3) ◽  
pp. 1134-1143 ◽  
Author(s):  
Maurice J. Khabbaz ◽  
Hamed M. K. Alazemi ◽  
Chadi M. Assi

2014 ◽  
Vol 519-520 ◽  
pp. 241-244
Author(s):  
Li Liu

Mobile devices are popular used in peoples life. Generally, most of portable mobile devices are carried by people. Thus, the mobility of mobile devices is influenced heavily by peoples social relationship. Socially-aware Opportunistic Networks are used in intermittently connected networks by use of store-carry-and-forward fashion. It is mainly based on social relationship to design solutions for problem such as routing protocol or data dissemination. In this paper, we exploit social relationship about friendships information among people and use them to predict the contact opportunities. We present Friend-based Prediction routing protocol (FBP) and establish experiment based on ONE. The simulation results show that the efficiency of FBP outperforms Epidemic and PROPHET in higher delivery ratio, lower overhead and shorter average latency.


Author(s):  
Cherry Ye Aung ◽  
G. G. Md. Nawaz Ali ◽  
Ming Zhao ◽  
Ruojun Cai ◽  
Peter Han Joo Chong

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