Study on Channel Assignment Algorithm in Multi-Radio Sensor Networks

FONT face; Verdana; JI Shou-ling; LI Jin-bao; GUO Long-jiang; ZHANG De-sheng; HUI Li; FONT

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Study on Channel Assignment Algorithm in Multi-Radio Sensor Networks

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- Study on Channel Assignment Algorithm in Multi-Radio Sensor Networks
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 117-122(2010)
- 作者机构：
  
  1. 1.黑龙江大学计算机科学技术学院,黑龙江,哈尔滨,150080
  2. 黑龙江省数据库与并行计算重点实验室,黑龙江,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Published：2010
- 稿件说明：
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FONT face, Verdana, JI Shou-ling, et al. Study on Channel Assignment Algorithm in Multi-Radio Sensor Networks[J]. Acta Electronica Sinica, 2010, 38(2A): 117-122.
DOI：

FONT face, Verdana, JI Shou-ling, et al. Study on Channel Assignment Algorithm in Multi-Radio Sensor Networks[J]. Acta Electronica Sinica, 2010, 38(2A): 117-122. DOI：

摘要

FONT face=Verdana>为了减少通信冲突与信道干扰，本文研究了Multi-Radio Multi-Channel传感器网络无冲突通信的信道数上界与Radio数上界，在理论上证明了当网络的通信半径NCR3×Dis(P

)且Sensor节点规模大于2K+1时，网络无冲突信道分配的信道数上界为△(CG)，其中K为网络可采用的功率级数，Dis(P

)为网络最大功率的通信半径，△(CG)为网络信道冲突图的最大度.在此上界基础上，提出了一种信道分配算法，该算法消除了数据通信时的冲突与干扰.理论分析与实验结果表明：本文提出的无冲突信道分配算法能够显著地改善传感器网络的通信效率，提高网络的吞吐量.

Abstract

FONT face=Verdana>For the sake of reducing communication conflicts and channel interference furthest

this paper studies the upperbounds of channels and radios of conflictfree communication in MultiRadio MultiChannel sensor networks.We prove theoretically that when the networks communication radius NCR3×Dis(P

)and the Sensor Size of the networks is greater than 2K+1

the upperbound of channels

FONT face=Verdana>of conflictfree communication is △(CG)

in whichK is the power levels of the networks

Dis(P

)is the communication radius of the largest power P

of the networks and △(CG)is the largest degree of the conflict graph of the neworks.Based on the above upper bound

a channel assignment algorithm is proposed.Theore

tical analysis and experimental results indicate that the channel assignment algrithm this paper proposed can improve the communication efficiency of sensor networks significantly

and then increase the networks throughput.

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