Journal ArticleDOI
Interference-Aware Multisource Transmission in Multiradio and Multichannel Wireless Network
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TLDR
A distributed joint source, routing, and channel selection scheme that can effectively improve the network aggregate throughput, as well as reduce delay and packet loss probability.Abstract:
A node can provide a file to other nodes after downloading the file or data from the Internet. When more than one node have obtained the same file, this is considered a multisource transmission, in which all these nodes can act as candidate providers (sources) and transmit the file to a new request node (destination) together. In cases where there is negligible or no interference, multisource transmission can improve the download throughput because of parallel transmissions through multiple paths. However, this improvement is not guaranteed due to wireless interference among different paths. Wireless interference can be alleviated by the multiradio and multichannel technique. Because the source and multipath routing selections interact with channel assignment, the multisource transmission problem with multiradio and multichannel presents a significant challenge. In this paper, we propose a distributed joint source, routing, and channel selection scheme. The source selection issue can be concurrently solved via multipath finding. There are three sub-algorithms in our scheme, namely, interference-aware routing algorithm, channel assignment algorithm, and local routing adjustment algorithm. The interference-aware routing algorithm is used to find paths sequentially and is jointly executed with the channel assignment algorithm. After finding a new path, the local routing adjustment algorithm may be executed to locally adjust the selected paths so as to further reduce wireless interference. Extensive simulations have been conducted to demonstrate that our algorithms can effectively improve the network aggregate throughput, as well as reduce delay and packet loss probability.read more
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References
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Proceedings ArticleDOI
A performance comparison of multi-hop wireless ad hoc network routing protocols
TL;DR: The results of a derailed packet-levelsimulationcomparing fourmulti-hopwirelessad hoc networkroutingprotocols, which cover a range of designchoices: DSDV,TORA, DSR and AODV are presented.
Journal ArticleDOI
An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks
TL;DR: An Enhanced Power Efficient Gathering in Sensor Information Systems (EPEGASIS) algorithm is proposed to alleviate the hot spots problem from four aspects: optimal communication distance is determined, threshold value is set to protect the dying nodes, mobile sink technology is used to balance the energy consumption among nodes, and extensive experiments have been performed.
Journal ArticleDOI
A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks
TL;DR: A novel coverage control algorithm based on Particle Swarm Optimization (PSO) is presented that can effectively improve coverage rate and reduce energy consumption in WSNs.
Interference-aware Load Balancing for Multihop Wireless Networks
TL;DR: A new path weight function, called MIC, and a novel routing scheme, called LIBRA, are proposed to provide interferenceaware and multi-channel/multi-radio aware load balancing for mesh networks, while still ensuring routing optimality and loopfreedom.
Journal ArticleDOI
Distributed Channel Assignment and Routing in Multiradio Multichannel Multihop Wireless Networks
TL;DR: An important channel cost metric (CCM) is introduced which actually reflects the interference cost and is defined as the sum of expected transmission time weighted by the channel utilization over all interfering channels (for each node).