Novel Quick Start (QS) method for optimization of TCP

Zhang, Degan; Zheng, Ke; Zhao, Dexin; Song, Xiaodong; Wang, Xiang

doi:10.1007/s11276-015-0968-2

Cited by 116 publications

(50 citation statements)

References 26 publications

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“…The selection of the cluster head is random, so the energy consumption of nodes is balanced. However, the random selection mechanism does not consider the rest energy of nodes and cannot guarantee the scalar rationality and the distributional uniformity of the cluster head node [10]. On this basis, some researchers propose the LEACH-ED [11] protocol based on the distance from the source node to the cluster head node and the rest energy, and the LEACH-T [12] protocol which uses the interval instead of the random number of cluster head and the threshold.…”

Section: Leach Methods For Clustering Routingmentioning

confidence: 99%

“…The design algorithm of swarm intelligence is inspired by the collective act of the insects (such as bees, termites, and ants) which exist in a decentralized and self-organizing system or other animal society [9][10][11][12][13][14][15]. These insects live in a hostile and dynamic environment; they survive through coordination and cooperation.…”

Section: Introductionmentioning

confidence: 99%

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A new clustering routing method based on PECE for WSN

Zhang

Wang

Song

et al. 2015

J Wireless Com Network

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A new clustering routing method based on predictive energy consumption efficiency (PECE) for a wireless sensor network (WSN) is presented in this paper. It consists of two stages: cluster formation and stable data transfer. In the cluster formation stage, we design an energy-saving clustering routing algorithm based on the node degree, the relative distance between nodes, and the rest energy of nodes. When this algorithm selects the cluster head, the node degree and the relative distance between the nodes are fully considered, so the selected cluster not only has better coverage performance but also short average distance from other member nodes in the formative cluster; therefore, the cost of communications within the clusters is small. In the stable data transfer stage, by using bee colony optimization (BCO), we design a PECE strategy for data transmission. On the basis of considering the predictive values of energy consumption, the hops, and the propagation delay on this route, this strategy gives a precise definition of the route yield by using two types of bee agent to predict the route yield of each routing path from the source node to the sink node. Through the optimization design of the algorithm, it can improve the quality of clusters, thereby increasing the overall network performance, and reduces and balances the energy consumption of whole network and prolongs the survival time of the network.

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Section: Leach Methods For Clustering Routingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new clustering routing method based on PECE for WSN

Zhang

Wang

Song

et al. 2015

J Wireless Com Network

Self Cite

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“…Authors [10] have developed this protocol for the satellite communication network where BDP is very high, but the probability of loss is also very high. The aim of the method is to optimize slow start phase.…”

Section: Related Workmentioning

confidence: 99%

“…Scnt step up count is added to the congestion window if all the condition is satisfied by congestion control algorithm. When scnt becomes 0, it is reinitialized with P. In research mentioned [6][7][8][9][10][11][12][13][14][15][16] in related work, they are applying algorithm after cwnd reach to ssthresh/2. In our approach, we applied count increase method before ssthresh/2.…”

Section: Analysis Of Proposed Workmentioning

confidence: 99%

TCP M-Start: A New Slow Start Method of TCP to Transfer Data Over Long Fat Pipe Network

Pravinbahi¹,

Pravinchandra²

2017

IJIES

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Transmission control protocol have gone through various revisions to develop new method of responding to network congestion control as per past, present and future requirements. In cloud computing moving large size of a VM from one data center to another data center over WAN is a challenging task. To regulate data flow, sending of data is carried out in three phases iteratively. Slow start, congestion avoidance and fast recovery. All these methods are functions of ACK reception. Specially in slow start, initially it is very slow but it progresses aggressively as times increases. Because of a slow start, it suffers from low network resource utilization in the high bandwidth delay scenario. At every receipt of ack, the congestion window is either step up by one or a zero. In this paper, efforts are made to improve slow start behavior by changing step up count (scnt) to improve network resource utilization. Experiments and results, observed during the slow start phase, show that throughput has increased to 51.23%, time to reach epoch has reduced to 40%, the position of epoch point has increased to 4 times higher than traditional but it leads to increased 30% of packet drops.

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“…However, transmission quantity is still large. References [6][7][8][9][10] proposed a hybrid protocol. In this protocol, nodes near the leaves forward original data without using compressive sensing, and those which are close to the sink node use compressive sensing technology to transmit data.…”

Section: Introductionmentioning

confidence: 99%

A kind of effective data aggregating method based on compressive sensing for wireless sensor network

Zhang

Zhang³

et al. 2018

J Wireless Com Network

Self Cite

130

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Wireless sensor network (WSN) in the Internet of Things consists of a large number of nodes. The proposal of compressive sensing technology provides a novel way for data aggregation in WSN. Based on the clustering structure of WSN, a kind of effective data aggregating method based on compressive sensing is proposed in this paper. The aggregating process is divided into two parts: in the cluster, the sink node sets the corresponding seed vector based on the distribution of network and then sends it to each cluster head. Cluster head can generate corresponding own random spacing sparse matrix based on its received seed vector and collect data through compressive sensing technology. Among clusters, clusters forward measurement values to the sink node along multi-hop routing tree. Performance analysis and comparison with the relative methods show that our method is effective and superior to other methods regardless of intra-cluster or inter-cluster on the total energy consumption of network.

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Novel Quick Start (QS) method for optimization of TCP

Cited by 116 publications

References 26 publications

A new clustering routing method based on PECE for WSN

A new clustering routing method based on PECE for WSN

TCP M-Start: A New Slow Start Method of TCP to Transfer Data Over Long Fat Pipe Network

A kind of effective data aggregating method based on compressive sensing for wireless sensor network

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