The Perspective of Smart Dust Mesh Based on IoEE for Safety and Security in the Smart Cities

  • Raluca Maria Aileni
  • George Suciu
  • Martin Serrano
  • R. Maheswar
  • Carlos Alberto Valderrama Sakuyama
  • Sever Pasca
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


This chapter presents several perspectives of the smart dust mesh based on theInternet of Everything, Everywhere (IoEE). Smart dust surveillance finds application in military and security area (monitoring of people and products), in enhancing ambient interaction (for people with visual, motor, and auditory impairments), e-health monitoring, environmental surveillance of temperature, light intensity, sound, pressure, particle suspensions (PM 0.1–10) in the air, humidity, harmful chemicals, vibrations, magnetic, and electrical fields. The goal is to survey climatic changes, seismic activities, air emissions, and water pollution in case of mines or extremely industrialized cities. However, it is of interest to note its applicability in smart city IoT; the smart dust surveillance also comes with disadvantages, such as privacy, control, maintenance, and high costs. The device comprises clusters of smart interconnected small parts (MEMS, memristors in micro/nano size), which add to the cost. The smart dust networked mesh should be lightweight and maintained by passive power generators which rely on harvesting light, vibration, heat. According to DARPA reports (ElectRx program 2016), the smart dust such as neural dust “motes” that are implantable monitors nerve activity by recording wirelessly. In the field of health surveillance, ElectRx program that is developed by neural smart dust is capable of treating pain, general inflammation, post-traumatic stress, severe anxiety, and trauma by precise noninvasive monitoring of the patient’s peripheral nervous system. The prototype for neural dust is millimeter size small, with the possibility of manufacturing individual motes of 1 cubic millimeter or even as small as 100 microns per side.


IoEE Smart dust Security Healthcare Environment Privacy Energy harvesting Communication Smart monitoring 



This work has been supported in part by UEFISCDI Romania and MCI through projects CitiSim, ESTABLISH, PARFAIT and WINS@HI, funded in part by European Union’s Horizon 2020 research and innovation program under grant agreement No. 826452 (Arrowhead Tools), No. 787002 (SAFECARE), No. 777996 (SealedGRID) and No. 813278 (A-WEAR).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Raluca Maria Aileni
    • 1
  • George Suciu
    • 1
    • 2
  • Martin Serrano
    • 3
  • R. Maheswar
    • 4
  • Carlos Alberto Valderrama Sakuyama
    • 5
  • Sever Pasca
    • 1
  1. 1.Faculty of Electronics, Telecommunication and Information TechnologyPolitehnica University of BucharestBucharestRomania
  2. 2.Beia Consult InternationalBucharestRomania
  3. 3.National University of Ireland Galway, Insight Center for DataGalwayIreland
  4. 4.School of Electrical & Electronics Engineering (SEEE), VIT Bhopal UniversityMadhya PradeshIndia
  5. 5.Faculty of Engineering, Department of Electronics and MicroelectronicsUniversity of MonsMonsBelgium

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