SECM: status estimation and cache management algorithm in opportunistic networks

2018 ◽  
Vol 75 (5) ◽  
pp. 2629-2647 ◽  
Author(s):  
Jia Wu ◽  
Zhigang Chen ◽  
Ming Zhao
2012 ◽  
Vol 457-458 ◽  
pp. 1317-1325
Author(s):  
Jian Wei Zhang ◽  
Bao Wei Zhang ◽  
Si Liu ◽  
Zhao Yang Li

This paper analyzed the features of a new network architecture whose locator and identifier are separated, in order to improve the query and replacement efficiency of the identifier mapping, the backup of the locator/identifier mapping information needs storing in the most necessary place, which is a problem of cache management in fact .In this paper the typical cache management algorithms are analyzed firstly, and then a new aimed pushing and pre-fetching strategy is proposed according to the bidirectional interactive character of the communication activity in querying the mapping relationship, thus divided the Access Switch Router(ASR) cachespace into three section: Waiting_First_Access_Section (WFA), Frequently_Used_se- ction(FU) and Session_Duration_Section (SDU). And based on the identity mapping information reuse probability predicted by the Markov model, an information lifetime-based adaptive cache management algorithm is proposed. The simulation result shows that the performance of the buffer management algorithm proposed by this paper is better than those of the existing cache management algorithms such as LFU, LRU and LFU-LRU


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Jia Wu ◽  
Zhigang Chen ◽  
Ming Zhao

In real network environment, nodes may acquire the communication destination during data transmission and find a suitable neighbor node to perform effective data classification transmission. This is similar to finding certain transmission targets during data transmission with mobile devices. However, the node cache space in networks is limited, and waiting for the destination node can also cause end-to-end delay. To improve the transmission environment, this study established Data Transmission Probability and Cache Management method. According to selection of high meeting probability node, cache space is reconstructed by node. It is good for nodes to improve delivery ratio and reduce delay. Through experiments and the comparison of opportunistic network algorithms, this method improves the cache utilization rate of nodes, reduces data transmission delay, and improves the overall network efficiency.


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