scholarly journals A framework for dynamic selection of backoff stages during initial ranging process in wireless networks

2017 ◽  
Vol 133 ◽  
pp. 17-27 ◽  
Author(s):  
Muhammad Rafiq Mufti ◽  
Humaira Afzal ◽  
Irfan Awan ◽  
Andrea Cullen
Author(s):  
Qiaoqiao Lou ◽  
Zhijin Zhao

Broadcast is an important link in mobile ad hoc wireless networks (MANETs). In order to improve broadcast coverage, reduce forwarding probability and broadcast collision, a dynamic space-covered broadcast algorithm based on neighbor-degree in MANETs is proposed. The concepts of neighbor-degree, available-angel and available-distance are introduced. The neighbor-degree is used to generate the initial forwarding probability of a node. Based on the available-angle and available-distance, the node weight is proposed to calculate the final forwarding probability, thereby realizing the dynamic selection of forwarding node and reflecting the dynamic space-covered of node. The forwarding strategy is proposed to reduce broadcast collision. Simulation results show that, compared with dynamic probability broadcast and node location based space-covered broadcast, proposed broadcast algorithm reduces the broadcast collision, improves the broadcast coverage, and reduces the forwarding probability when the number of nodes is large.


2000 ◽  
Vol 11 (1) ◽  
pp. 73-81 ◽  
Author(s):  
V. Subramaniam ◽  
G. K. Lee ◽  
G. S. Hong ◽  
Y. S. Wong ◽  
T. Ramesh

Author(s):  
Rafael Estepa ◽  
Antonio Estepa ◽  
Germán Madinabeitia ◽  
Mark Davis

This paper presents an adaptive algorithm that improves the energy efficiency of VoIP applications over IEEE 802.11 networks. The algorithm seeks to achieve the largest energy savings subject to reaching a minimum speech quality under the prevailing network conditions. The control mechanism used is the dynamic selection of the packet size during the communication.This algorithm has been implemented in an experimental testbed and the results demonstrate that our packetization rate control algorithm can provide energy savings in uncongested IEEE 802.11 networks (up to 30%). Furthermore, under poor network conditions the algorithm can prolong the duration of the call before it is dropped at the expense of a higher energy consumption.


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