Using ant-based agents for congestion control in ad-hoc wireless sensor networks

被引：14

作者：

Dhurandher, Sanjay K. ^{[1
]}

Misra, Sudip ^{[2
]}

Mittal, Harsh ^{[3
]}

Agarwal, Anubhav ^{[1
]}

Woungang, Isaac ^{[4
]}

机构：

[1] Univ Delhi, CAITFS, Div Informat Technol, Netaji Subhas Inst Technol, New Delhi, India

[2] Indian Inst Technol, Sch Informat Technol, Kharagpur 721302, W Bengal, India

[3] Univ Delhi, Div Comp Engn, Netaji Subhas Inst Technol, New Delhi, India

[4] Ryerson Univ, Dept Comp Sci, Toronto, ON, Canada

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2011年 / 14卷 / 01期

关键词：

Ant-based agents; Congestion control; Ad hoc wireless sensor networks; Routing;

D O I：

10.1007/s10586-009-0090-2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ad-hoc wireless sensor networks suffer from problems of congestion, which lead to packet loss and excessive energy consumption. In this paper, we address the issue of congestion in these networks. We propose a new routing protocol for wireless sensor networks namely Antbased Routing with Congestion Control (ARCC), which takes into account the congestion of the network at a given instant and proposes to reduce it and then finds the optimum paths between the source and the sink nodes. Simulation results show that ARCC performs better with respect to the throughput, the number of packets lost and the priority performance. © Springer Science+Business Media, LLC 2009.

引用

页码：41 / 53

页数：13

共 35 条

[1] A survey on sensor networks [J].

Akyildiz, IF ;

Su, WL ;

Sankarasubramaniam, Y ;

Cayirci, E .

IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) :102-114

[2]

[Anonymous], SYSTEMS-BASEL, DOI DOI 10.4018/IJERTCS.2019040108

[3]

[Anonymous], P INT WORKSH WIR AD

[4]

[Anonymous], 1996, Mobile Computing

[5] Efficient solutions to various routing issues involved in mobile ad hoc bio-sensor networks: applying appropriate motion trajectories [J].

Dhurandher, S. K. ;

Misra, S. ;

Dhawan, A. ;

Tiwari, A. .

IET COMMUNICATIONS, 2009, 3 (05) :830-845

[6] An ant colony optimization approach for reputation and quality-of-service-based security in wireless sensor networks [J].

Dhurandher, Sanjay Kumar ;

Misra, Sudip ;

Obaidat, Mohammad S. ;

Gupta, Nidhi .

SECURITY AND COMMUNICATION NETWORKS, 2009, 2 (02) :215-224

[7]

DHURANDHER SK, 2009, P IEEE INT C COMM IE

[8] AntNet: Distributed stigmergetic control for communications networks [J].

Di Caro, G ;

Dorigo, M .

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 1998, 9 :317-365

[9] Ant algorithms for discrete optimization [J].

Dorigo, M ;

Di Caro, G ;

Gambardella, LM .

ARTIFICIAL LIFE, 1999, 5 (02) :137-172

[10] Ant system: Optimization by a colony of cooperating agents [J].

Dorigo, M ;

Maniezzo, V ;

Colorni, A .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (01) :29-41

← 1 2 3 4 →