An Efficient and Reliable Routing Protocol using bio-inspired techniques for congestion control in WSN

被引:0
作者
Kaur, Manpreet [1 ]
Malik, Arun [1 ]
机构
[1] Lovely Profess Univ, Dept Comp Sci & Engn, Phagwara, Punjab, India
来源
2018 4TH INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS) | 2018年
关键词
AODV protocol; wireless sensor network; cuckoo search algorithm; congestion control; artificial bee colony algorithm;
D O I
10.1109/ICCS.2018.00009
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In wireless sensor networks (WSNs), congestion control is a very essential region of concern. When the packets that are coming get increased than the actual capacity of network or nodes results into congestion in the network. Congestion in network can cause reduction in throughput, increase in network delay, and increase in packet loss and sensor energy waste. For that reason, new complex methods are mandatory to tackle with congestion. So it is necessary to become aware of congestion and manage the congested resources in wireless sensor networks for enhancing the network performance. Diverse methodologies for congestion recognition and prevention have been presented in the previous couple of years. To handle some of the problems, this paper exhibits a new technique for controlling the congestion. An efficient and reliable routing protocol (ERRP) based on bio inspired algorithms is introduced in this paper for solving congestion problem. In the proposed work, a way is calculated to send the packets on the new pathway. The proposed work has used three approaches for finding the path which results into a congestion free path. Our analysis and simulation results shows that our approach provides better performance as compared to previous approaches in terms of throughput, packet loss, delay etc.
引用
收藏
页码:15 / 22
页数:8
相关论文
共 14 条
  • [1] [Anonymous], IEEE T CONSUMER ELEC
  • [2] Distributed Compressive Sampling for Lifetime Optimization in Dense Wireless Sensor Networks
    Caione, Carlo
    Brunelli, Davide
    Benini, Luca
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (01) : 30 - 40
  • [3] Chakeres Ian D., 2004, DISTR COMP SYST WORK
  • [4] Ee C. T., 2004, P 2 INT C EMB NETW S
  • [5] Huang Jyh-Ming, 2009, WIR TEL S 2009 WTS 2
  • [6] Kadam Anuja A., 2016, SCI TECHN ENG MAN IC
  • [7] Congestion Control Protocols in Wireless Sensor Networks: A Survey
    Kafi, Mohamed Amine
    Djenouri, Djamel
    Ben-Othman, Jalel
    Badache, Nadjib
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (03): : 1369 - 1390
  • [8] Kang JW, 2007, IEEE T PARALL DISTR, V18, P919, DOI [10.1109/TPDS.2007.1030, 10.1109/TPDS.2007.1030.]
  • [9] Kittali Rashmi M., 2016, SIGN PROC COMM POW E
  • [10] LACAS: Learning Automata-Based Congestion Avoidance Scheme for Healthcare Wireless Sensor Networks
    Misra, Sudip
    Tiwari, Vivek
    Obaidat, Mohammad S.
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2009, 27 (04) : 466 - 479