4 - Solution Development

Develop IoT device that can communicate at network edge

• We shall apply the edge computing technology into imaging devices such as a Ring camera.

Develop algorithm for edge computing

Implement device in a home environment

Improve resource allocation

• Decrease latency

• Decrease bandwidth usage

Optimized computing at network edge

Low latency/bandwidth

Responsiveness: must compute with low latency and return results in fast time.

Mobility: IoT devices must be able to move and stay connected to the system.

Proximity: Computing resources must be close within the system boundaries.

Optimization: must compute with minimal resources.

Reliability: must be able to handle network disruptions and give consistent results with minimal error.

Minimum cost: must be economically feasible and efficient.

Minimum maintenance: must work over long periods of time, with no human intervention.

Better than cloud computing: must be more efficient than computations done within a cloud server system in regards to price, latency, and other factors.

Security: information shared and stored has to be secure and risk-free.

Develop an IoT device that is capable of giving information to a local edge server, or has local computing resources.

• We would start trying to improve a Ring camera into working with edge computing technology.

Develop an algorithm that can process the information from the IoT device.

• Our algorithm should be able to successfully integrate the IoT camera with the network while meeting our design goals.

Implement the IoT system to function autonomously.

• This would be our last focus. After we have a functioning IoT device and algorithm, we would work on getting our system to run unsupervised, or with the least supervision possible.

Eliminate "increased rewards for energy conservation due because it doesn’t improve computing resources".

Eliminate "implementation of local servers due to high cost".

Eliminate "increase in number of edge servers due to high cost".

Eliminate "decreased use of cloud resources because it doesn’t improve the system".

Eliminate "improving quality of smart home devices due to more complexity and high costs".

Eliminating impossible (or unpromising) solution paths

Design data-collection and information-gathering efforts so that the most useful information can be extracted to formulate the initial situation or problem state to be corrected

Evaluate the final solution state by identifying the desirable elements, i.e., functional capabilities or characteristics that should be part of any solution

Select intermediate steps along the path from the problem state to the final solution state, and develop the desired solution by following this path

General Design Goals

• Safety

• Environmental protection

• Public acceptance

• Reliability

• Performance

• Ease of operation or operating conditions

• Durability

• Use of standard parts

• Minimum cost

• Minimum maintenance and ease of maintenance

Specific design goals

Continuously re-evaluating the goal list

We recognize sustainability is an important aspect of any product development Therefore, we strive for the product to be:

• Cost-efficient

• Low power consumption

• Carbon Neutral or with a very small Carbon Footprint