OPPNets and Rural Areas: An Opportunistic Solution for Remote Communications

被引:17
|
作者
Jesus-Azabal, Manuel [1 ]
Herrera, Juan Luis [1 ]
Laso, Sergio [1 ]
Galan-Jimenez, Jaime [1 ]
机构
[1] Univ Extremadura, Dept Comp & Telemat Syst, Avda Univ S-N, Caceres 10003, Spain
来源
WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2021年 / 2021卷
关键词
20;
D O I
10.1155/2021/8883501
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Many rural areas along Spain do not have access to the Internet. Despite the huge spread of technology that has taken place during recent years, some rural districts and isolated villages have a lack of proper communication infrastructures. Moreover, these areas and the connected regions are notably experiencing a technological gap. As a consequence of this, the implementation of technological health solutions becomes impracticable in these zones where demographic conditions are especially particular. Thus, inhabitants over 65 suppose a large portion of such population, and many elderly people live alone at their homes. These circumstances also impact on local businesses which are widely related to the agricultural and livestock industry. Taking into account this situation, this paper proposes a solution based on an opportunistic network algorithm which enables the deployment of technological communication solutions for both elderly healthcare and livestock industrial activities in rural areas. This way, two applications are proposed: a presence detection platform for elderly people who live alone and an analytic performance measurement system for livestock. The algorithm is evaluated considering several simulations under multiple conditions, comparing the delivery probability, latency, and overhead outcomes with other well-known opportunistic routing algorithms. As a result, the proposed solution quadruples the delivery probability of Prophet, which presents the best results among the benchmark solutions and greatly reduces the overhead regarding other solutions such as Epidemic or Prophet. This way, the proposed approach provides a reliable mechanism for the data transmission in these scenarios.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Utilizing Opportunistic Social Networks for Remote Patient Monitoring in Rural Areas
    Max-Onakpoya, Esther
    Madamori, Shina
    Baker, Corey E.
    TESCA'19: PROCEEDINGS OF THE 1ST ACM INTERNATIONAL WORKSHOP ON TECHNOLOGY ENABLERS AND INNOVATIVE APPLICATIONS FOR SMART CITIES AND COMMUNITIES, 2019, : 46 - 49
  • [2] An Opportunistic Routing Solution to Monitor Isolated Elderly People in Rural Areas
    Jesus-Azabal, Manuel
    Berrocal, Javier
    Garcia-Alonso, Jose
    Soares, Vasco N. G. J.
    Galan-Jimenez, Jaime
    GERONTECHNOLOGY, IWOG 2019, 2020, 1185 : 195 - 203
  • [3] Smart street lighting solution for remote rural areas of India
    Hajra, Debdyut
    SIXTEENTH INTERNATIONAL CONFERENCE ON SOLID STATE LIGHTING AND LED-BASED ILLUMINATION SYSTEMS, 2017, 10378
  • [4] Telemedicine Odyssey Customised Telemedicine Solution for Rural and Remote Areas in India
    Bhatia, Jagjit Singh
    Sharma, Sagri
    MEDICAL AND CARE COMPUNETICS 3, 2006, 121 : 22 - 35
  • [5] An Opportunistic Connectivity Network for Rural Areas in Senegal
    Gueye, A.
    Mahmoudi, C.
    Elmimouni, O. I.
    Gueye, M. L.
    Ndiaye, S. O.
    INNOVATION AND INTERDISCIPLINARY SOLUTIONS FOR UNDERSERVED AREAS, 2018, 204 : 131 - 137
  • [6] Telemedicine in remote rural areas
    Chhibber, S
    PSYCHIATRIC SERVICES, 1997, 48 (12) : 1644 - 1644
  • [8] TRANSPORTATION AND COMMUNICATIONS FOR REMOTE EXPLOITABLE AREAS
    MOORE, DD
    VIGRASS, JW
    RAHBANY, KP
    BATTELLE TECHNICAL REVIEW, 1968, 17 (5-6): : 10 - &
  • [9] TRANSPORTATION AND COMMUNICATIONS FOR REMOTE EXPLOITABLE AREAS
    MOORE, DD
    VIGRASS, JW
    RAHBANY, KP
    EKISTICS, 1969, 27 (159): : 140 - 143
  • [10] A self-sustainable opportunistic solution for emergency detection in ageing people living in rural areas
    Manuel Jesús-Azabal
    Javier Berrocal
    Vasco N. G. J. Soares
    José García-Alonso
    Jaime Galán-Jiménez
    Wireless Networks, 2023, 29 : 2353 - 2370