An Energy-Efficient Clustering and Routing Framework for Disaster Relief Network

被引:24
|
作者
Masaracchia, Antonino [1 ]
Nguyen, Long D. [2 ]
Duong, Trung Q. [1 ]
Nguyen, Minh-Nghia [3 ]
机构
[1] Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland
[2] Dong Nai Univ, Dong Nai, Vietnam
[3] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
关键词
Disaster communications; device-to-device communications; disaster relief networks; DEVICE COMMUNICATIONS; POWER ALLOCATION; SENSOR NETWORKS;
D O I
10.1109/ACCESS.2019.2913909
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The lack of communication between local authorities, first aid responders, and the population that are present in a natural disaster area, represents critical aspects which can compromise relief operations in saving human lives. During natural disasters (earthquakes/tsunamis), the typical telecommunications network infrastructure in the affected area could be damaged or unfunctional. This can seriously compromise the efficiency of first aid operations. In this paper, we propose a device-to-device (D2D)-based framework which, starting from some basic information such as positions and battery level of victim's devices, could provide communication from a disaster area towards a functional area. This framework, utilized by a base station located in a functional area, organizes users of disaster area into clusters of users and for each cluster select a gateway. This framework permits also, to evaluate the optimal transmission power for each gateway in order to maximize the energy efficiency in the area and to create a multi-hop path from the disaster area to relay node minimizing the end-to-end delay. The simulations results demonstrate that our proposed approach outperforms either random policy assignment and static policies assignment in both power allocation and routing path creations.
引用
收藏
页码:56520 / 56532
页数:13
相关论文
共 50 条
  • [1] An energy-efficient unequal clustering routing algorithm for wireless sensor network
    Wang F.
    Hu H.
    Revue d'Intelligence Artificielle, 2019, 33 (03) : 249 - 254
  • [2] Exploring an energy-efficient DTN framework supporting disaster management services in post disaster relief operation
    Bhattacharjee, Suman
    Roy, Siuli
    Bandyopadhyay, Somprakash
    WIRELESS NETWORKS, 2015, 21 (03) : 1033 - 1046
  • [3] Exploring an energy-efficient DTN framework supporting disaster management services in post disaster relief operation
    Suman Bhattacharjee
    Siuli Roy
    Somprakash Bandyopadhyay
    Wireless Networks, 2015, 21 : 1033 - 1046
  • [4] GreenOCR: An Energy-Efficient Optimal Clustering Routing Protocol
    Liu, Jin
    Li, Juan
    Niu, Xiaoguang
    Cui, Xiaohui
    Sun, Yunchuan
    COMPUTER JOURNAL, 2015, 58 (06): : 1344 - 1359
  • [5] Energy-efficient Clustering Routing Protocol Based on Weight
    Sun, Yanjing
    Chen, Wei
    Zhang, Bei
    Liu, Xue
    Gu, Xiangping
    2009 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2009), 2009, : 1089 - 1093
  • [6] Energy-efficient Jamming Attack in Clustering Network
    Liu Zhiping
    Zhao Dechun
    PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 4, 2010, : 848 - 852
  • [7] An Energy-Efficient Clustering Routing Algorithm Based on Geographic Position and Residual Energy for Wireless Sensor Network
    Jorio, Ali
    El Fkihi, Sanaa
    Elbhiri, Brahim
    Aboutajdine, Driss
    JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS, 2015, 2015
  • [8] A Framework for Energy-Efficient Clustering With Utilizing Wireless Energy Balancer
    Alabdali, Aliaa M.
    Gharaei, Niayesh
    Mashat, Arwa A.
    IEEE ACCESS, 2021, 9 : 117823 - 117831
  • [9] An Adaptive Energy-Efficient Uneven Clustering Routing Protocol for WSNs
    Li, Mingyu
    Yin, Jihang
    Xu, Yonggang
    Hua, Gang
    Xu, Nian
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2024, E107B (02) : 296 - 308
  • [10] An energy-efficient clustering and multipath routing for mobile wireless sensor network using game theory
    Thandapani, Preethiya
    Arunachalam, Muthukumar
    Sundarraj, Durairaj
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (07)