EARP: An Enhanced ACO-Based Routing Protocol for Wireless Sensor Networks with Multiple Mobile Sinks

被引:10
作者
Moussa, Noureddine [1 ]
Benhaddou, Driss [2 ]
El Alaoui, Abdelbaki El Belrhiti [1 ]
机构
[1] Moulay Ismail Univ Meknes, Fac Sci, Comp Networks & Syst Lab, PB 11201, Zitoune 50000, Meknes, Morocco
[2] Univ Houston, Comp Engn Technol Fac, Houston, TX USA
关键词
Ant Colony Optimization; Clustering; Routing; Fault tolerance; Wireless sensor networks; Forest fire; ALGORITHM; EFFICIENCY; LIFETIME; ENERGY; MODEL;
D O I
10.1007/s10776-021-00545-4
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A plenty of Ant Colony Optimization (ACO)-based routing algorithms have been proposed to find optimal path of mobile sinks in Wireless Sensor Networks (WSNs). However, they concentrate on energy efficiency and ignore fault tolerance for critical data collection points like Cluster Heads (CHs). They supposed an ideal scenario where there are no failures which is not the case in reality due to failures resulting from unattended and hostile deployment environments and so on. Moreover, the existing routing protocols are not application-specific enabled (i.e., the parameters cannot be adapted to the application's requirements). In this paper, we propose an energetically-optimized multi-sink-based clustered WSN model along with a fault-tolerant and energy-efficient Enhanced ACO based Routing Protocol (EARP) to provide reliable data transmission in case of encountering a faulty path. Unlike existing studies, EARP addresses jointly the different constraints of forest fires detection application like fault tolerance, network lifetime and response time. The proposed EARP is simulated along with its counterparts in a general scenario based on various main metrics and also in an application-specific scenario (forest fires detection) based on network lifetime and response time. The simulations results prove its superiority, compared to its peers, in both scenarios.
引用
收藏
页码:118 / 129
页数:12
相关论文
共 40 条
  • [1] DEC-MAC: delay- and energy-aware cooperative medium access control protocol for wireless sensor networks
    Ahmed, Mohammad Helal Uddin
    Razzaque, Md Abdur
    Hong, Choong Seon
    [J]. ANNALS OF TELECOMMUNICATIONS, 2013, 68 (9-10) : 485 - 501
  • [2] Optimized Energy - Efficient Path Planning Strategy in WSN With Multiple Mobile Sinks
    Al-Kaseem, Bilal R.
    Taha, Zahraa K.
    Abdulmajeed, Sarah W.
    Al-Raweshidy, Hamed S.
    [J]. IEEE ACCESS, 2021, 9 : 82833 - 82847
  • [3] IoT transaction processing through cooperative concurrency control on fog-cloud computing environment
    Al-Qerem, Ahmad
    Alauthman, Mohammad
    Almomani, Ammar
    Gupta, B. B.
    [J]. SOFT COMPUTING, 2020, 24 (08) : 5695 - 5711
  • [4] COMPARISON OF TWO HEURISTIC APPROACHES FOR SOLVING THE PRODUCTION SCHEDULING PROBLEM
    Andziulis, Arunas
    Dzemydiene, Dale
    Steponavicius, Raimundas
    Jakovlev, Sergej
    [J]. INFORMATION TECHNOLOGY AND CONTROL, 2011, 40 (02): : 118 - 122
  • [5] Proposed Technique for Efficient Cloud Computing Model in Effective Digital Training Towards Sustainable Livelihoods for Unemployed Youths
    Bansal, Ritu
    Singh, Vikash Kumar
    [J]. INTERNATIONAL JOURNAL OF CLOUD APPLICATIONS AND COMPUTING, 2020, 10 (04) : 13 - 27
  • [6] GAECH: Genetic Algorithm Based Energy Efficient Clustering Hierarchy in Wireless Sensor Networks
    Baranidharan, B.
    Santhi, B.
    [J]. JOURNAL OF SENSORS, 2015, 2015
  • [7] Boulis A., 2011, CASTALIA SIMULATOR W
  • [8] An Efficient Tree-Based Power Saving Scheme for Wireless Sensor Networks With Mobile Sink
    Chang, Jau-Yang
    Shen, Ting-Huan
    [J]. IEEE SENSORS JOURNAL, 2016, 16 (20) : 7545 - 7557
  • [9] Chen Y, 2005, I C COMP SYST APPLIC
  • [10] EA-CRP: A Novel Energy-aware Clustering and Routing Protocol in Wireless Sensor Networks
    Darabkh, Khalid A.
    Al-Maaitah, Noor J.
    Jafar, Iyad E.
    Khalifeh, Ala' F.
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2018, 72 : 702 - 718