Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler

被引:92
作者
Abdelwahab, Sherif [1 ]
Hamdaoui, Bechir [1 ]
Guizani, Mohsen [2 ]
Rayes, Ammar [3 ]
机构
[1] Oregon State Univ, EECS Dept, Corvallis, OR 97331 USA
[2] Qatar Univ, Grad Studies, Doha, Qatar
[3] Cisco Syst, San Jose, CA 95134 USA
来源
IEEE INTERNET OF THINGS JOURNAL | 2014年 / 1卷 / 03期
基金
美国国家科学基金会;
关键词
Cloud computing; Internet of Everything (IoE); remote sensing; smart cloud services; WIRELESS SENSOR NETWORKS; CHALLENGES; SYSTEMS;
D O I
10.1109/JIOT.2014.2325071
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 recent emergence and success of cloud-based services has empowered remote sensing and made it very possible. Cloud-assisted remote sensing (CARS) enables distributed sensory data collection, global resource and data sharing, remote and real-time data access, elastic resource provisioning and scaling, and pay-as-you-go pricing models. CARS has great potentials for enabling the so-called Internet of Everything (IoE), thereby promoting smart cloud services. In this paper, we survey CARS. First, we describe its benefits and capabilities through real-world applications. Second, we present a multilayer architecture of CARS by describing each layer's functionalities and responsibilities, as well as its interactions and interfaces with its upper and lower layers. Third, we discuss the sensing services models offered by CARS. Fourth, we discuss some popular commercial cloud platforms that have already been developed and deployed in recent years. Finally, we present and discuss major design requirements and challenges of CARS.
引用
收藏
页码:276 / 288
页数:13
相关论文
共 79 条
  • [21] Garg SK, 2011, LECT NOTES COMPUT SC, V7916, P371, DOI 10.1007/978-3-642-24650-0_32
  • [22] Coverage and connectivity issues in wireless sensor networks: A survey
    Ghosh, Amitabha
    Das, Sajal K.
    [J]. PERVASIVE AND MOBILE COMPUTING, 2008, 4 (03) : 303 - 334
  • [23] Goudarzi H., 2011, Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing (CLOUD 2011), P324, DOI 10.1109/CLOUD.2011.106
  • [24] Opportunities and Challenges of Wireless Sensor Networks in Smart Grid
    Gungor, Vehbi C.
    Lu, Bin
    Hancke, Gerhard P.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (10) : 3557 - 3564
  • [25] Haque O., 2004, PACHUBE
  • [26] Hariharan B., 2011, INT J COMPUT SCI ISS, V8, P245
  • [27] Huang J., 2012, CPCCWP20121101 U CAL
  • [28] Huang J., 2013, VIRTUAL VEHICLE CYBE
  • [29] Hull B., 2006, SENSYS, DOI DOI 10.1145/1182807.1182821
  • [30] Jain AK, 2012, 2012 2ND IEEE INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC), P811, DOI 10.1109/PDGC.2012.6449927