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Minimum delay scheduling with multi-packet transmission in wireless networks
2015
2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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This paper studies the problem of minimum delay scheduling in wireless networks with multi-packet transmission capability. ...
Specifically, we assume that the network employs superposition coding at the physical layer in order to implement multi-packet transmission. ...
Abstract-This paper studies the problem of minimum delay scheduling in wireless networks with multi-packet transmission capability. ...
doi:10.1109/wowmom.2015.7158129
dblp:conf/wowmom/AbbasiG15
fatcat:z2aso5tg7rhadhj5rlphs6rbom
A Distributed Scheduling Algorithm with QoS Provisions in Multi-hop Wireless Mesh Networks
2008
2008 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
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Multi-hop wireless mesh networks (WMNs) are considered a promising technology to backhaul heterogeneous data traffic from wireless access networks to the wired Internet. ...
In this paper, we propose a fully distributed multi-constrained QoS scheduling algorithm to overcome this disadvantage. ...
This is because in the multi-hop wireless network, any queued packet j has already suffered some queuing and transmission delays in previous hops, and an efficient scheduler would count in this delay before ...
doi:10.1109/wimob.2008.113
dblp:conf/wimob/LiuGHL08
fatcat:dtgigsjinvfpxdj55xrfedbxim
A Review on Cost-Efficient and Optimum Solution for Fiber-Wireless (Fi-Wi) Technology
English
2015
International Journal of Innovative Research in Science, Engineering and Technology
English
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forwarding and scanning with minimum relays between nodes in wireless network. ...
to destination nodes in wireless network. ...
Main part is to be considering here is for making better network capacity with minimum delay, speed and in satisfactory flexibility in the network. ...
doi:10.15680/ijirset.2015.0402017
fatcat:fzmwdznk4zclvodzzqi547unnq
Performance Analysis of Network Coding with IEEE802.11 DCF Using Multi Path Transfer Protocol in Wireless Network
2018
Zenodo
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In our model multi hop network used the MPTP (protocol) it prevent the delay and packed loss of source to destination. Finally use computer simulation to verify an analytical model. ...
In this paper proposed the random medium access of CSMA/CA as in IEEE802.11 distributed coordination function with Multi Path Transfer Protocol (DCF-MPTP). ...
In queuing model to develop the network coding is based on the packed scheduling algorithm. The main disadvantage is single hop wireless network with high delay and unicast transmission. ...
doi:10.5281/zenodo.2292894
fatcat:oewvgi3irfa23a6r5e6sfetunu
Soft-TDMAC: A Software TDMA-Based MAC over Commodity 802.11 Hardware
2009
IEEE INFOCOM 2009 - The 28th Conference on Computer Communications
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Soft-TDMAC can schedule transmissions to take end-to-end demands into account and in a way that decreases end-to-end delay [1], [2]. ...
Building on pairwise synchronization, Soft-TDMAC achieves network wide synchronization. With, out-of-band, network wide synchronization Soft-TDMAC can schedule arbitrary TDMA transmission patterns. ...
in multi-hop wireless networks [3] . ...
doi:10.1109/infcom.2009.5062104
dblp:conf/infocom/DjukicM09
fatcat:rvfzimeqrbh4blvrxry3plpc5e
Quality-assured energy balancing for multi-hop wireless multimedia networks via 2-D channel coding rate allocation
2011
Proceedings of the 2011 ACM Symposium on Research in Applied Computation - RACS '11
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The simulation results show that the proposed approach can significantly improve the energybalancing of the multi-hop wireless mesh networks. ...
Specifically, a new channel coding scheduling algorithm is proposed to allocate the optimal channel coding redundancy to each multimedia packet to achieve both the maximal energy-balancing of the network ...
This research was supported in parts by Electrical Engineering and Computer Science departmental EE revolving fund at South Dakota State University, the National Natural Science Foundation of China No. ...
doi:10.1145/2103380.2103410
dblp:conf/racs/XingWZGLJ11
fatcat:ksqcrfnm2jfqtiu3vgpfpxuxp4
Minimum Latency Data Aggregation in Wireless Sensor Network
2016
International Journal of Computer Applications
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The wireless sensor networks are highly constrained type of network having sensor nodes with more capabilities. The sensor networks are deployed in various regions to collect the data. ...
Hence network lifetime of sensor nodes is increased. The proposed model has been proved to be efficient in case of performance parameters of transmission delay reduced by the factor of one-third. ...
B.Yu et al. [8] Paper gives minimum-time aggregation scheduling problem in multi-sink sensor networks (MS-MTAS problem). Work on MS-MTAS is NP-hard. ...
doi:10.5120/ijca2016908056
fatcat:hsiqsvwyafbtrcik3kzsdn3kje
Selection of Energy and Queue Aware Forwarding Neighbor in Wireless Mesh Network
2013
International Journal of Computer Applications
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The performance was evaluated in terms of packet delivery ratio, dropped packets, routing overhead, average end-end delay and energy consumed per packet. ...
The above mentioned factors can be incorporated in the multi-channel and multi-interface approach of WMN to increase the capacity and throughput of the network. ...
Hongkun et al [13] studied the selection of a path with the minimum cost in terms of expected end-to-end delay (EED) in a multi-radio wireless mesh network. ...
doi:10.5120/14026-2185
fatcat:tuefgpiebvb2fiqppmrohfq35u
Review of Packet Scheduling Algorithms in Mobile Ad Hoc Networks
2011
International Journal of Computer Applications
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This paper provides a survey of scheduling techniques in wireless Ad hoc networks. Desirable features and classifications of schedulers for the different scheduling algorithms are discussed. ...
Scheduling algorithms are important components in the provision of guaranteed quality of service parameters. ...
In [19] , two mechanisms are used for QoS communication in multi-hop wireless networks. ...
doi:10.5120/1914-2552
fatcat:xfcfdfynyze7lejad7xi52tiuq
ENHANCEMENT OF QOS IN MULTIHOP WIRELESS NETWORKS BY DELIVERING CBR USING LB ALGORITHM
2014
International Journal of Research in Engineering and Technology
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algorithm in multi-hop wireless networks. ...
One of the most complicated issues is to measuring the delay performance of end to end nodes in Multi-hop Wireless Networks. ...
In Multi hop Wireless Networks, The Joint Congestion Control and Scheduling Algorithm based problems has been deeply investigated in the literature [1] . ...
doi:10.15623/ijret.2014.0303072
fatcat:cobgr6ecorgnva4mifexjwcxme
Parallel-Transmission: A New Usage of Multi-Radio Diversity in Wireless Mesh Network
2009
International Journal of Communications, Network and System Sciences
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To fully utilize the diversity of multi-radio, a new parallel transmission method for wireless mesh network is proposed. ...
Compared with conventional packet transmission which follows "one flow on one radio", it uses the radio diversity to transmit the packets on different radios simultaneously. ...
Vivy Suhendra, who has made a lot of help in this paper. We are also grateful to anonymous reviews for their invaluable and constructive comments and suggestions. ...
doi:10.4236/ijcns.2009.21006
fatcat:ifk4mi6agnbqdj2khlytjlzt4y
Goodput improvement for multipath TCP by congestion window adaptation in multi-radio devices
2013
2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)
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We consider typical multipath transmission scenarios over wireless links, as well as a cooperative multihop wireless network with multiple relays. ...
For wired paths with stable end-to-end delay, we further develop a proactive scheduling algorithm to determine the packet sending sequence to each path. ...
In the wireless case, the multi-radio sink node is equipped with two network interfaces and connected to a multi-channel base station over typical wireless links or cooperative multi-hop links through ...
doi:10.1109/ccnc.2013.6488491
dblp:conf/ccnc/ZhouSS13
fatcat:iywptx6ox5chnc3xw7yb6htn7i
Delay Guarantee and Service Interval Optimization for HCCA in IEEE 802.11e WLANs
2007
2007 IEEE Wireless Communications and Networking Conference
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On the basis of mean sending rate, delay of Variable Bit Rate (VBR) traffic cannot be bounded with the reference HCF scheduling algorithm proposed in this supplement. ...
The results show that the delay upper bound can be achieved for a large range of networks load with bandwidth optimization. ...
Wireless network with our proposed scheduler In this work, we perform all the simulations with one physical rate. ...
doi:10.1109/wcnc.2007.390
dblp:conf/wcnc/HiguchiFOYO07
fatcat:wzethqq7arhtvbvhsihjwcaijm
Multi-hop Cross-Layer Design in Wireless Sensor Networks: A Case Study
2008
2008 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
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It examines an application scheme in a scenario of a wireless sensor network environment operating with a recent energy-efficient power saving protocol. ...
This paper proposes to go a step further and to consider cross-layer information exchange across different layers of multiple stations involved in multi-hop communication systems. ...
Minimum Delay Routing using Multi-hop Cross Layer Information Sensor network nodes reporting data often have multiple different gateway nodes they can use to forward their packets. ...
doi:10.1109/wimob.2008.28
dblp:conf/wimob/HurniBBZ08
fatcat:eq7ozpfq7bfwbaiabocv27ujwq
Minimum Delay Routing in Multihop Wireless Networks
[chapter]
2011
Lecture Notes in Computer Science
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End-to-end delay is an important QoS metric in multihop wireless networks such as sensor networks and mesh networks. ...
Along with throughput, end-to-end delay determines the user-experienced data transmission time. End-to-end delay refers to the total time it takes for a single packet to reach the destination. ...
Maggie Cheng and Xuan Gong are supported in part by National Science Foundation under grant CNS-0841388, and Peng-Jun Wan is supported by NSF grants CNS-0831831 and CNS-0916666. ...
doi:10.1007/978-3-642-23490-3_13
fatcat:fj36ww6zgvahdep3snpqxvzpwy
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