E2M: An Efficient Emergency Management System

被引:5
作者
Ramasamy, V. [1 ]
Gomathy, B. [2 ]
机构
[1] Pk Coll Engn & Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
[2] Bannari Amman Inst Technol, Dept Comp Sci & Engn, Erode, Tamil Nadu, India
关键词
Emergency; Network; Mobile device; Cloud computing; MOBILE CLOUD; ENERGY-EFFICIENT; TRANSMISSION; EXECUTION;
D O I
10.1007/s13369-020-04809-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In an emergency situation, the required information is collected effectively by mobile devices. But, the low battery size of a mobile device with minimal computational sources is the bottlenecks. Hence the more power utilizing activities can be transferred to the cloud to minimize the load of the mobile devices. In fact, sometimes the lack of Internet access is an extremely difficult task to send mobile data from source to the target cloud. To overcome these problems, an Efficient Emergency Management System using NSGA-II optimization named as E2M has been proposed which works efficiently to manage the emergency situations. E2M is used to find the best mobile device which has higher rank and low Relative Network Load value by optimizing the accessible mobile devices in an emergency situation. The parameters such as precision, recall and F1-score values are used to measure the efficiency of E2M. The experimental results reveal that the E2M outperforms baseline algorithms.
引用
收藏
页码:10669 / 10682
页数:14
相关论文
共 49 条
  • [1] Bahl P., 2012, P 3 ACM WORKSH MOB C, P21
  • [2] A Cooperative Emergency Navigation Framework Using Mobile Cloud Computing
    Bi, Huibo
    Gelenbe, Erol
    [J]. INFORMATION SCIENCES AND SYSTEMS 2014, 2014, : 41 - 48
  • [3] Dynamic Operations of Cloud Radio Access Networks (C-RAN) for Mobile Cloud Computing Systems
    Cai, Yegui
    Yu, F. Richard
    Bu, Shengrong
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (03) : 1536 - 1548
  • [4] Chuan Yao, 2015, International Journal of High Performance Computing and Networking, V8, P102
  • [5] Chun BG, 2011, EUROSYS 11: PROCEEDINGS OF THE EUROSYS 2011 CONFERENCE, P301
  • [6] Cuervo E., 2010, Maui: making smartphones last longer with code offload, P49, DOI [10.1145/1814433.1814441, DOI 10.1145/1814433.1814441]
  • [7] A fast and elitist multiobjective genetic algorithm: NSGA-II
    Deb, K
    Pratap, A
    Agarwal, S
    Meyarivan, T
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) : 182 - 197
  • [8] Demsar J, 2006, J MACH LEARN RES, V7, P1
  • [9] Giri S.K., 2019, PROGR ADV COMPUTING, V714, DOI [10.1007/978-981-13-0224-4_12, DOI 10.1007/978-981-13-0224-4_12]
  • [10] Heiser G., 2010, P 2010 USENIX C USEN