Evaluating the energy-efficiency of transport layer protocols in a battery-powered wireless mesh networks

2012 ◽  
Author(s):  
O. Oki ◽  
M.B. Mutanga ◽  
M.O. Adigun ◽  
P. Mudali
Keyword(s):  
Energy Efficiency ◽  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Transport Layer ◽  
Wireless Mesh ◽  
Transport Layer Protocols

Survivable Routing Protocol for green wireless mesh networks based on energy efficiency

2014 ◽  
Vol 11 (8) ◽  
pp. 117-124 ◽  
Author(s):  
Yinpeng Yu ◽  
Yuhuai Peng ◽  
Yejun Liu ◽  
Lei Guo ◽  
Meng Song
Keyword(s):  
Energy Efficiency ◽  
Wireless Mesh Networks ◽  
Routing Protocol ◽  
Mesh Networks ◽  
Wireless Mesh

scholarly journals Multi-Channel Wireless Mesh Networks With TCP Proxies

2021 ◽  
Author(s):  
Adam Kohn
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Transport Layer ◽  
Primary Concern ◽  
Multiple Channels ◽  
Network Congestion ◽  
Interference Effects ◽  
Tcp Performance ◽  
Hop Count ◽  
Wireless Mesh

Wireless mesh networks based on 802.11 technology could potentially be an inexpensive means of constructing large-scale wireless infrastructure networks. Wireless mesh networks attempt to capitalize on multiple hop communication to achieve transmissions over relatively larger distances. One fundamental concern is that multi-hop wireless networks may suffer heavily from co-channel interference. If multiple channels from the 802.11 spectrum are employed across adjacent links of communication, the interference effects can be mitigated. In practice, either overlapping channels or independent orthogonal channels can be assigned to the different links with varying effects. Topology control can be used to help manage these channels to limit the interference effects while providing for the necessary capacity and scalability requirements. By means of analyses and testbed experiments, I have validated that the introduction of multiple channels can improve overall system performance. With respect to the end-users, end-to-end performance over multiple wireless hops should be the primary concern. Under UDP-based communication sessions, network congestion is not the main contributor to transport layer performance degradation. Upon further investigation, TCP performance degrades exponentially with hop count, because it incorrectly interprets lost packets as a sigh of network congestion. Since TCP performance weakens for connections with more wireless hops, I further evaluate if network performance can be improved by adding an n-hop TCP proxy service. These proxies have the effect of breaking long connections into shorter connections with tighter transport layer control. A trade-off between the number of proxies and the hop count between proxies becomes evident through testbed evaluation. Analyzing various mesh characteristics and the relationships between MAC and transport layers can help establish a suitable protocol for future work.

scholarly journals Multi-Channel Wireless Mesh Networks With TCP Proxies

2021 ◽  
Author(s):  
Adam Kohn
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Transport Layer ◽  
Primary Concern ◽  
Multiple Channels ◽  
Network Congestion ◽  
Interference Effects ◽  
Tcp Performance ◽  
Hop Count ◽  
Wireless Mesh

Wireless mesh networks based on 802.11 technology could potentially be an inexpensive means of constructing large-scale wireless infrastructure networks. Wireless mesh networks attempt to capitalize on multiple hop communication to achieve transmissions over relatively larger distances. One fundamental concern is that multi-hop wireless networks may suffer heavily from co-channel interference. If multiple channels from the 802.11 spectrum are employed across adjacent links of communication, the interference effects can be mitigated. In practice, either overlapping channels or independent orthogonal channels can be assigned to the different links with varying effects. Topology control can be used to help manage these channels to limit the interference effects while providing for the necessary capacity and scalability requirements. By means of analyses and testbed experiments, I have validated that the introduction of multiple channels can improve overall system performance. With respect to the end-users, end-to-end performance over multiple wireless hops should be the primary concern. Under UDP-based communication sessions, network congestion is not the main contributor to transport layer performance degradation. Upon further investigation, TCP performance degrades exponentially with hop count, because it incorrectly interprets lost packets as a sigh of network congestion. Since TCP performance weakens for connections with more wireless hops, I further evaluate if network performance can be improved by adding an n-hop TCP proxy service. These proxies have the effect of breaking long connections into shorter connections with tighter transport layer control. A trade-off between the number of proxies and the hop count between proxies becomes evident through testbed evaluation. Analyzing various mesh characteristics and the relationships between MAC and transport layers can help establish a suitable protocol for future work.

Energy efficiency and traffic offloading in wireless mesh networks with delay bounds

2014 ◽  
Vol 30 (2) ◽  
pp. e2902 ◽  
Author(s):  
Rosario G. Garroppo ◽  
Bernard Gendron ◽  
Gianfranco Nencioni ◽  
Luca Tavanti
Keyword(s):  
Energy Efficiency ◽  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Delay Bounds ◽  
Wireless Mesh ◽  
Traffic Offloading

P-AODV: Energy-Aware Routing for Wireless Mesh Networks

2015 ◽  
Vol 764-765 ◽  
pp. 946-949 ◽  
Author(s):  
Chih Min Yu ◽  
Yih Bin Yu ◽  
Chun Chih Chu
Keyword(s):  
Energy Efficiency ◽  
Signal Detection ◽  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Power Level ◽  
Source Node ◽  
Destination Node ◽  
Energy Aware ◽  
Intermediate Node ◽  
Wireless Mesh

This paper proposed an energy-aware routing method, P-AODV. Based on the AODV routing protocol, this study designed a passive power control (PPC) algorithm to enhance energy efficiency. The proposed method includes signal detection and power setting phases. During the signal detection phase, the source node broadcasts the route request packets (RREQ) and the downstream intermediate node calculates the optimum power level at the upstream intermediate node according to the received signal strength indicator (RSSI) after receiving the RREQ. During the power set phase, the destination node returns the RREQ packet to notify the power level of the upstream nodes to the source node. After that, all nodes from the source node to the destination node engaged in transmission will transmit data in a coordinated power level. As indicated by the computer simulation results, P-AODV could have 30% higher energy efficiency than traditional AODV. This PPC algorithm could also be used in wireless mesh networks (WMNs).

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