Adaptive Majority-Based Re-Routing For Differentiated Reliability In Wireless Sensor Networks

被引:0
|
作者
Naderi, Ali [1 ]
Mazinani, Sayyed Majid [2 ]
Shirazi, Amin Zadeh [3 ]
Setoodefar, Masood [3 ]
Faghihnia, Mahya [4 ]
机构
[1] Islamic Azad Univ, Mashhad Branch, Dept Comp Engn, Mashhad, Iran
[2] Imam Reza Univ, Dept Elect Engn, Mashhad, Iran
[3] Khayyam Higher Educ Inst, Mashhad, Iran
[4] Mashhad Univ Med Sci, Mashhad, Iran
关键词
differentiated reliable routing; Win function; majority-based re-routing policy; wireless sensor networks;
D O I
10.1109/ICECCS.2012.6
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A good deal of research and development has been carried out in architecture and protocol design, energy saving and location, but only a few studies have been done on network performance in WSN (Quality of Service -QoS). The commonly accepted QoS metrics include bandwidth, delay, delay jitter and reliability. Whereas the majority of developed applications for WSNs are event-critical applications, achieving reliable data transfer as the main factor of dependability and quality of service seems vital. In many applications, the reliability level required by the data packets is different. Also, there are some applications in which the significance of the data obtained from the sensor nodes, depends on the majority of the reports denoting occurrence of specific events in some parts of the environment. In this paper, we focus on building a routing protocol called MBRR which routes packets towards the destination node in a highly reliable manner by classifying data into differentiated classes. Moreover, MBRR employs a new adaptive policy called majority based re-routing policy in order to route the packets with instantaneously change in number implying occurrence of special events via more reliable paths.
引用
收藏
页码:119 / 124
页数:6
相关论文
共 50 条
  • [21] Reliability Considered Routing Protocol in Wireless Sensor Networks
    Liu Zhixin
    Dai Lili
    Xue Liang
    Guan Xinping
    Hua Changchun
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 5011 - 5016
  • [22] Reducing wireless multi-hop delay via RSU re-routing in vehicular wireless networks
    Wang, Kuo-Lung
    Wang, Tsan-Pin
    Tseng, Chien-Chao
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2015, 28 (15) : 2082 - 2097
  • [23] AN ENERGY-EFFICIENT RE-ROUTING METHOD IN WIRELESS MOBILE AD HOC NETWORKS
    Zhan, Songtao
    Wang, Jin
    Xu, Guoxin
    Zhang, Ping
    2006 FIRST INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA, 2006,
  • [24] Research on Differentiated-Area Routing in Wireless Sensor Networks Based on the Vector Field
    Li, Ming
    Qian, Huanyan
    IAEDS15: INTERNATIONAL CONFERENCE IN APPLIED ENGINEERING AND MANAGEMENT, 2015, 46 : 247 - 252
  • [25] Global and Local Reliability-Based Routing Protocol for Wireless Sensor Networks
    Yang, Guisong
    Liang, Tingting
    He, Xingyu
    Xiong, Naixue
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) : 3620 - 3632
  • [26] Adaptive Clustering Routing Optimization for Wireless Sensor Networks
    Wei, Xia
    Lu, Jun
    Zhuang, Yuan
    Ling, Xianqing
    2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 1011 - 1015
  • [27] Adaptive routing with energy awareness for wireless sensor networks
    Jin, J
    Kim, E
    Chung, S
    Lee, H
    Cho, C
    Han, K
    ESA '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS AND APPLICATIONS, 2005, : 201 - 207
  • [28] Research of Routing Mechanism on Adaptive Wireless Sensor Networks
    Liu, Jianming
    Xu, Lili
    Teng, Wenjie
    Yanglei
    PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017), 2017, 130 : 466 - 470
  • [29] Reliability-Based Adaptive Distributed Classification in Wireless Sensor Networks
    Pai, Hung-Ta
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (09) : 4543 - 4552
  • [30] Mobility prediction for re-routing strategy in drone networks
    Ganapaza, Angel Freddy
    Colosimo, Francesco
    UNMANNED SYSTEMS TECHNOLOGY XXVI, 2024, 13055