Hi,
These are some basic principles and requirements for IoT based BANs.
1- A state-of-the-art baseline exploring the idea of extending an IoT to a BAN for distributed patients wearing sensors and proposed a technique or methodology addressing real-time communication and low latency.
2- A methodology is needed to access mobile devices as acting gateways making them accessible to and from the cloud using IPv6 protocol and show end-to end connectivity and control.
3- Then, analyse the proposed solution(s) addressing design characteristics for application support for body area networks.
4- After the development of techniques, a test environment is required to demonstrate the recommended solutions including the IoT to BANs for patients collecting real-time data and analysing for planning, management and decision making.
Hi,
These are some basic principles and requirements for IoT based BANs.
1- A state-of-the-art baseline exploring the idea of extending an IoT to a BAN for distributed patients wearing sensors and proposed a technique or methodology addressing real-time communication and low latency.
2- A methodology is needed to access mobile devices as acting gateways making them accessible to and from the cloud using IPv6 protocol and show end-to end connectivity and control.
3- Then, analyse the proposed solution(s) addressing design characteristics for application support for body area networks.
4- After the development of techniques, a test environment is required to demonstrate the recommended solutions including the IoT to BANs for patients collecting real-time data and analysing for planning, management and decision making.
Hello Dr. Muneer ,,
After explorations about IOT and body sensors in 5G networks, I have found some issues:
1- Each BASNs consists of multiple interconnected nodes on, near, or within a human body, which together provide sensing,processing, and communication capabilities .
2- BASNs share many of challenges with wireless sensor networks (WSNs) such as:
- *** Hardware-centric Challenges like :
* Security for BAN transmission protocol : IoT devices are typically wireless devices, Encryption is the key to ensuring security of data, and be important to protect sensitive data.
* Protection of information and control systems from unauthorized access : How will access to data and information be granted.
* Fast, reliable identification and authentication : Issues of data ownership need to be addressed in IOT.
* Compatibility.: BASNs nodes need to interoperate with other BASN nodes, existing inter-BASN networks, and even with electronic health control systems.
* Power resources : Battery technology remains the main obstacle for wider adoption of wearable health monitoring.
* standardization: standardization of communication protocols and data storage formats.
* Availability & Reliability of communication resources : Data Consistency Interference.
* QoS guarantees for bandwidth, delay, and bit error rate.
- ***Human-centric Challenges like :
* Cost.
* Constant Monitoring.
* Consistent Performance.
On the one hand, it is clear that there are considerable opportunities to improve health care especially body sensors through 5G networks and IoT. The fast speed and intelligent design of these systems are creating new applications and devices that have the potential to transform the way health is diagnosed and treated. In reality, this hope needs to be done to facilitate an end-to-end system and connect devices to networks and the cloud in ways that are inter-operable and secure. That will enable doctors and patients to receive these benefits.
On the other hand, the key challenge going forward is to expand technological opportunities and make 5G and the internet of things a reality and not just a hope. There are a number of steps that are needed to advance the vision of 5G in body sensors. This includes Infrastructure development and prototyping; spectrum harmonization; adequate technical standards; effective regulation and standardization; changes in reimbursement policy, and data privacy protection.
Body Sensors Networks (BSNs) are used to keep track of health activates occurred in the human body with the help of sensors. So we have number of sensors located on various parts of our bodies.
Here are some of the basic challenges facing BSNs:
1. Wearability:
Both of the size and weight of such sensors must kept small in order to keep the patient comfortable while moving and should not interfere with his/her actions.
2. Measurement repeatability:
These sensors must be very motion sensitive to record all possible motions done by our bodies, this will lead to increase the variability in the recorded motion data (not all motions are considered important to the BSNs system). Furthermore, we need to isolate the most important motion data.
These first two challenges relate deeply to the third one:
3. Power efficiency:
Generally sensors size is quit bulky (the target is to make them as small as possible), this is resulted from the power consumption requirements needed by them to operate. On the other hand, the repeated measurements of most important motions by the sensors will reduce the power consumption.
4. Security and Privacy issues:
Sensitive information about the patient (i.e. location information, physical condition, etc.) obtained from those sensors must be protected against any threat and private while transmitting over an insecure wireless channels.
5. QoS:
The challenge is to maintain and keep QoS. The definitions of QoS depend on the applications. Such as: reliability, availability, timeliness, robustness, throughput, delay, packet loss rate and many others.
6. Routing:
Especially in Thermal aware routing, in BSNs the nodes differ in temperature. Some with high temperature and others with lower temperature. The challenge is to reduce the heat with high temperature nodes.
by the time of using 5G , the number of the devices will be huge (it is expected to arrive over than 20 billion in 2020), so 5G network must be scalable.
There are also a lot of security and privacy issues, since the security and privacy principle which are already used in 4G will be not enough.
Other main challenging is how to collect the data –which is big data- from the connected devices, how to analyses it, and how to present it.
5G can affect body sensors from this points
1- Processing data and hardware challenges:
5G network it's high capacity networks with low latency we need processor unit and better hardware, that can handle data in real-time and get full benefits of 5G, a better processor can make heat and add more costs. We will need more development on limited resources and costs such size, weight, battery, hardware and all Financial costs.
2- Still in development
5G networks not released yet which make some of the points unpredictable such as the size of network equipment’s, costs and power consumption.
3- human health challenges
We need a lot of studies to see if the 5G networks radiation can affect human health.
4- security challenges
Body sensors can send in real-time which make delay and costs to secure high constant data, we need to encrypt this data in real-time which need more costs. Also, we have many privacy challenges simply we can ask the question who can have an access to private network? We need to make policy and restrictions on third-party access such as Manufacturing company, Government powers, and Hackers.
5- Legal challenges
Some governments may impose restrictions and conditions on the use of 5G networks in body sensors that can affect usage of the network.
Hello Doctor,
I think that the main challenge is to develop new technologies and infrastructure that could combine 5G and the HIoT and drive it to the real world.
A challenge in using these new spectrum bands planed in 5G is that they are not as operative as lower frequencies exists in 4G or 3G at keen thick walls and dealing with weather conditions such as rain or snow. In order to overcome these issues, a 5G system would require expedite signal transmission via cell tours. Without that signal would be weak, thus we will miss some important information in those circumstances. It's also possible that this information is exposed to be theft or damage for the purpose of tapping the patient's health leading to increase the range of cyber-crime. So the privacy and confidentiality of this data must be taken into account by protecting and encrypting data to reduce these challenges.
Also, in these days there are many medical devices on the shelf, but it remains a challenge to provide a smart pointers for risk assessment of hypertension, stroke, and other conditions.
In my opinion, there will be "Big data problems", because the body sensors -If it worked as we aspire- will save all patients movements, motions and events.
Thanks,
Sanaa I. Abu Alasal.
Hello Dr,
IoT connection needs techniques with 5G. But there are many challenges affect IOT includes:
challenges in the design of the infrastructure,
safe and secure connections challenges, protocols problems, security risks, how to collect data,
integrity in exchange of data and battery limitation.
Dear Dr.Muneer,
there are many challenges
· Standards and interoperability
· Radio spectrum
· Security
· Data collection, protection and privacy
· Trust and data integrity
· Social impacts and consequences
· Design of future sustainable technologies linking the physical and virtual world
· Emerging Internet of Things business models and process changes
· Emerging applications and interaction paradigms for everyday citizens
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- Science topic
- Similar topics
- Methodology
- Sensors