An adaptive opportunistic retransmission control scheme environment-aware-based for wireless multimedia Mesh networks

2010 ◽  
Vol 27 (6) ◽  
pp. 756-764 ◽  
Author(s):  
Haitao Zhao ◽  
Yuning Dong ◽  
Hui Zhang ◽  
Yang Li
2015 ◽  
Vol 12 (2) ◽  
pp. 801-821
Author(s):  
Kyoungsoo Bok ◽  
Eunkyung Ryu ◽  
Junho Park ◽  
Jaijin Jung ◽  
Jaesoo Yoo

In this paper, we propose a new congestion control scheme to minimize data loss and maintain data quality in wireless multimedia sensor networks. The proposed scheme extracts and transfers dynamic regions by considering monitoring characteristics over multimedia sensor network environments to reduce the transferred data. Furthermore, it can reduce the packet size by deleting and transferring low-priority bit data by considering multimedia data characteristics during congestion situations to minimize packet loss. To show the superiority of the proposed scheme, we compare it with the existing congestion control schemes through simulation.


Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1039 ◽  
Author(s):  
Tariq Islam ◽  
Yong Kyu Lee

Many applications of underwater sensor networks (UWSNs), such as target tracking, reconnaissance and surveillance, and marine life monitoring require information about the geographic locations of the sensed data. This makes the localization of sensor nodes a crucial part of such underwater sensing missions. In the case of mobile UWSNs, the problem becomes challenging, not only due to a need for the periodic tracking of nodes, but also due to network partitioning as a result of the pseudo-random mobility of nodes. In this work, we propose an energy efficient solution for localizing nodes in partitioned networks. Energy consumption is minimized by clustering unlocalized partitioned nodes and allowing only clusterheads to carry out a major part of the localization procedure on behalf of the whole cluster. Moreover, we introduce a retransmission control scheme that reduces energy consumption by controlling unnecessary transmission. The major design goal of our work is to maximize localization coverage while keeping communication overheads at a minimum, thus achieving better energy efficiency. The major contributions of this paper include a clustering technique for localizing partitioned nodes and a retransmission control strategy that reduces unnecessary transmissions.


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