Impact of the Delay Tolerance in Wireless Sensor Networks Bufffer Occupancy and Energy Consumption Aspects

被引:0
|
作者
Gal, Zoltan [1 ]
Korteby, Mohamed Aminde [1 ]
Dabbas, Ashraf [1 ]
机构
[1] Univ Debrecen, Fac Informat, Debrecen, Hungary
来源
2018 IEEE INTERNATIONAL CONFERENCE ON FUTURE IOT TECHNOLOGIES (FUTURE IOT) | 2018年
关键词
WSN; routing protocols; delay tolerance; time-to-live; energy consumption; index of dispersion;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Wireless Sensor Networks have altered our way to collect scientific data and acknowledging our environment. They are network of low power self-sufficient node that can achieve any given task and sense diverse phenomena (Temperature, Humidity). Wildly used in the battlefield, wildlife tracking, and vehicular communication, they allow people to connect without setting up expensive or impossible network infrastructure. The performance analysis of WSN's plays a key role in understanding their design and behavior because of the lack of network resources as they have less energy and memory to buffer transit messages. Therefore, it is important to exploit these resources efficiently. In this paper, we present analysis of three different routing protocols under four movement models with nine Time-To-Live (TTL) values for a simulation of ten hours each. We give details concerning the impact of the delay tolerance to the buffer occupancy, energy consumption of the nodes under three hundred twenty-four different scenarios.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Optimizing Energy Consumption with Delay Constraint in Wireless Sensor Networks
    Trong-Thua Huynh
    Bui Cong Giao
    Cong-Hung Tran
    Anh-Vu Dinh-Duc
    NATURE OF COMPUTATION AND COMMUNICATION (ICTCC 2016), 2016, 168 : 113 - 123
  • [2] Energy Consumption in Wireless Sensor Networks
    金岩
    王玲
    杨孝宗
    温东新
    Journal of Donghua University(English Edition), 2007, (05) : 646 - 651
  • [3] Reinforcement Learning for Delay Tolerance and Energy Saving in Mobile Wireless Sensor Networks
    Al-Jerew, Oday
    Bassam, Nizar Al
    Alsadoon, Abeer
    IEEE ACCESS, 2023, 11 : 19819 - 19835
  • [4] Evaluating energy consumption in wireless sensor networks
    Kozlowski, Adam
    Sosnowski, Janusz
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2018, 2018, 10808
  • [5] Analysis of energy consumption of wireless sensor networks
    Cui H.-X.
    Wei G.
    Yu Y.-C.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2010, 38 (05): : 15 - 21
  • [6] An advanced energy consumption model for terrestrial wireless sensor networks
    Ahmad, Ashfaq
    Javaid, Nadeem
    Imran, Muhammad
    Guizani, Mohsen
    Alhamed, Ahmad A.
    2016 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2016, : 790 - 793
  • [7] Minimizing the Energy Consumption in Wireless Sensor Networks
    Baadache, Abderrahmane
    Adouane, Redha
    AD HOC & SENSOR WIRELESS NETWORKS, 2015, 27 (3-4) : 223 - 237
  • [8] Impact of Duplicates in Energy Consumption of Wireless Sensor Networks using the GSP protocol
    Calle, Maria
    Kabara, Joseph
    2009 7TH ANNUAL COMMUNICATION NETWORKS AND SERVICES RESEARCH CONFERENCE, 2009, : 446 - +
  • [9] Impact of mobility on energy consumption in wireless networks
    Xu, Mengmeng
    Yang, Qinghai
    Kwak, Kyung Sup
    Park, Daeyoung
    WIRELESS NETWORKS, 2019, 25 (05) : 2249 - 2258
  • [10] Energy Consumption of Polar Codes for Wireless Sensor Networks
    Li, Liping
    Wang, Quanyv
    Hu, Yanjun
    Zhang, Chuan
    WIRELESS INTERNET (WICON 2017), 2018, 230 : 140 - 149