TY - CHAP
T1 - The perspective of smart dust mesh based on IoEE for safety and security in the smart cities
AU - Aileni, Raluca Maria
AU - Suciu, George
AU - Serrano, Martin
AU - Maheswar, R.
AU - Valderrama Sakuyama, Carlos Alberto
AU - Pasca, Sever
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Communication
KW - Energy harvesting
KW - Environment
KW - Healthcare
KW - IoEE
KW - Privacy
KW - Security
KW - Smart dust
KW - Smart monitoring
UR - http://www.scopus.com/inward/record.url?scp=85090529404&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-38516-3_9
DO - 10.1007/978-3-030-38516-3_9
M3 - Chapter
AN - SCOPUS:85090529404
T3 - EAI/Springer Innovations in Communication and Computing
SP - 151
EP - 179
BT - EAI/Springer Innovations in Communication and Computing
PB - Springer Science and Business Media Deutschland GmbH
ER -