Distance-Based Multiple Paths Quantization of Vocabulary Tree for Object and Scene Retrieval

Background: The performance of the network protocol depends on number of parameters like re-broadcast probability, mobility, the distance between source and destination, hop count, queue length and residual energy, etc. Objective: In this paper, a new energy efficient routing protocol IAOMDV-PF is developed based on the fixed threshold re-broadcast probability determination and best route selection using fuzzy logic from multiple routes. Methods: In the first phase, the proposed protocol determines fixed threshold rebroadcast probability. It is used for discovering multiple paths between the source and the destination. The threshold probability at each node decides the rebroadcasting of received control packets to its neighbors thereby reducing routing overheads and energy consumption. The multiple paths list received from the first phase and supply to the second phase that is the fuzzy controller selects the best path. This fuzzy controller has been named as Fuzzy Best Route Selector (FBRS). FBRS determines the best path based on function of queue length, the distance between nodes and mobility of nodes. Results: Comparative analysis of the proposed protocol named as "Improved Ad-Hoc On-demand Multiple Path Distance Vector based on Probabilistic and Fuzzy logic" (IAOMDV-PF) shows that it is more efficient in terms of overheads and energy consumption. Conclusion: The proposed protocol reduced energy consumption by about 61%, 58% and 30% with respect to FF-AOMDV, IAOMDV-F and FPAOMDV routing protocols, respectively. The proposed protocol has been simulated and analyzed by using NS-2.

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Efficient match pair selection for oblique UAV images based on adaptive vocabulary tree

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2019.12.013 ◽

2020 ◽

Vol 161 ◽

pp. 61-75 ◽

Cited By ~ 3

Author(s):

San Jiang ◽

Wanshou Jiang

Keyword(s):

Vocabulary Tree ◽

Match Pair ◽

Selection For ◽

Uav Images

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A MPTCP Path Selection Strategy Based on Improved Grey Relational Analysis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.401-403.1766 ◽

2013 ◽

Vol 401-403 ◽

pp. 1766-1771 ◽

Cited By ~ 2

Author(s):

Lan Kou ◽

Si Rui Chen ◽

Rui Wang

Keyword(s):

Transmission Control Protocol ◽

Path Selection ◽

Transport Layer ◽

Reference Sequence ◽

Gray Relational Analysis ◽

Selection Strategy ◽

Relational Analysis ◽

Multiple Paths ◽

End To End ◽

Grey Relational

Multipath Transmission Control Protocol (MPTCP), a transport layer protocol, proposed by the IETF working group in 2009, can provide multipath communication end to end. It also can improve the utilization of network resources and network transmission reliability. However, that how to select multiple paths to improve the end to end overall throughput, and how to avoid the throughput declining by the performance difference, become the focus of this study. We propose a path selection strategy based on improved gray relational analysis, and set the optimal values of the QoS parameters for the selected paths as the reference sequence. According to the value of improved grey relational degree (IGRD) which is compared with reference sequence, we select the paths with better performance, smaller difference for transmission.

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