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首页基于时间分段机制的监控功能P-Persistent CSMA:提升无线网络服务质量
随着无线通信网络的迅速发展,商业应用种类繁多,用户对于无线通信网络的服务质量和信息体验有着更高的期待。本文针对这一需求,提出了一种基于时间分段机制的多通道持久性CSMA(P-Persistent CSMA)算法。这种算法的核心在于结合了二叉树冲突解决机制,实现了时分多路访问(Slotted Access),并巧妙地融合了连续时间和离散时间的接入控制机制。 在设计上,该P-Persistent CSMA采用p-persistent概率选择策略,这意味着节点在每个时隙内有固定的概率尝试发送数据,而非简单的二进制竞争。通过这种方式,系统能够有效地控制流量,提高多通道随机接入系统的优先级管理。二叉树冲突解决机制在遇到冲突时发挥作用,它不仅能识别并处理冲突,还能确保在冲突期间重新发送冲突的数据包,从而提升整体系统的效率和性能。 理论分析部分,作者探讨了p-persistent概率如何影响协议的吞吐量,并建立了相应的数学模型。研究发现,这种策略能够精细地调整网络的通信能力,使得理论分析与实际模拟结果保持高度一致性。模拟实验进一步验证了这一方法的有效性,不仅证实了理论预测,而且揭示了在不同网络参数下的性能优化路径。 该论文提出的时间分段多通道P-Persistent CSMA算法通过集成时隙式访问控制和连续时间控制的优势,以及利用二叉树冲突解决机制,显著提高了无线传感器网络的吞吐量和服务质量。这对于当前无线通信网络的发展具有重要的实践价值,也为未来无线网络的设计提供了新的思考方向。
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Abstract—With the rapid growth of wireless communication
networks with vary kinds of business, more and more users get a
colorful, high-quality information service, which also put
forward higher requirements on the quality of service of
wireless communication networks. The paper proposed a time
division multi-channel p-persistent CSMA based on binary trees
conflict resolution mechanism, designed slotted access and
combining continuous-time access control clock, using
p-persistent probability selection, conducted traffic control by
multi-channel priority for random access system. The study use
the advantages of integrated slot-type access control and
continuous-time access control, with binary trees conflict
resolution mechanism which could resolve the conflict and
resent the information packets in conflict, such that the system
performance has been improved. By modeling analysis, the
p-persistent probability can control the protocol throughput.
The analytical results and simulation results show that the
theoretical analysis and simulation experiments are consistent.
At the same time, simulations are also given overview of the
probability slotted and time division protocol.
Index Terms—Wireless sensor network, p-persistent CSMA,
binary tree conflict resolution, multichannel, throughput.
I. INTRODUCTION
The wireless sensor network (WSN) is a composed of
sensors, data processing Yuan and communication module
integrated small network nodes. The nodes form into a
dedicated and self-organization wireless network under the
control of efficient MAC control protocols and routing
protocol of. The sensor nodes can capture the environment
temperature, humidity, noise, light intensity, pressure, soil
composition, velocity of the moving object, direction and
other physical measurements, and then by the channel data
processing chip and a dedicated communication circuit point
within the acquired collection of information transmit to the
control center. Because of this sensor network functional
integration, widely used, cost-effective, so it becomes the hot
topic inside and outside the country in recent years [1].
With the rapid growth of wireless communication networks
with vary kinds of business, more and more users get a
colorful, high-quality information service, which also put
Manuscript received November 15, 2015; revised May 12, 2016. This
work was supported by the National Natural Science Foundation of China
(61461053, 61461054, 61072079); Natural Science Foundation of Yunnan
Province (2010CD023); The Financial Support of Yunnan University
(No.XT412004).
The authors are with Yunnan University, Kunming, 650091, China
(e-mail: 814627093@qq.com, zhoushengjie@hotmail.com,
dhw1964@163.com).
forward higher requirements on the quality of service of
wireless communication networks than the original single
QoS. Services business control policy cannot meet the
development needs of wireless communication network
applications. MIMO, OFDM and other new technologies, but
also for multi-channel study MAC control protocol provides
condition technology, which is also MAC media access
control protocol, and self-organizing nature of the network
proposed a higher demand. WSN is the end of the
next-generation network will be used, which is in full
movement the concept and peer networking technology, the
introduction of new network communication protocol to
achieve fast networking motion states. In existing random
access network communication protocol, it is difficult to meet
the mobile self-organization, multi-operational network
requirements [2].
In this paper, wireless sensor network, proposes time
division multi-channel p-persistent CSMA based on binary
trees conflict resolution mechanism, its basic principle is that
the channel is the continuous clock manner during channel is
idle; the channel is the slot time manner during channel is
busy. Upon sensing the channel is idle, at the beginning of the
next slot, the nodes send the information packet with
probability p, with probability (1-p) abandon send; when the
packet idle period that is continuous clock arrives, sent at the
same probability p, with probability (1-p) abandon sent [3].
After the introduction of binary collision resolution
mechanism, information packet collisions can be sent again in
the next time after all the collisions is divided making the
system more robust; increases the system throughput [4].
When we introduce the multichannel mechanism, the
system has N channels to transmit packets, the nodes occupied
of channel resources randomly according to their different
business requirements. Each priority has no limit on the
number of users, the order of priority from high to low be
priority N, priority N-1... priority 1 [5]. Priority
i
of business
occupied the channel 1 to channel
i
, as shown in Fig. 1. The
arrival information packets on the channel
i
obey
Poisson
distribution with arriving rate is
i
G
, the arrival process of
priority r on the channel
i
obedience the process with arrival
rate
/ ( 1)
ii
G N i
. Such system is a load balancing
system, the same arrival rates for each channel
is
( 1,2,..., )
i
G G i N
[6]. Different quality of service
according to different requirements, the multi-channel CSMA
protocol realized different services of different QoS
prioritization requirements by prioritizing.
Research on Time Division Multi-channel p-Persistent
CSMA Based on Binary Trees Conflict Resolution
Mechanism
Yifan Zhao, Shengjie Zhou, Hongwei Ding, Qianlin Liu, Zhijun Yang, and Chunfen Li
Journal
of Advances in Computer Networks, Vol. 4, No. 2, June 2016
111
doi: 10.18178/jacn.2016.4.2.213
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