IoT Value and Product Strategy · Study deck

IoT Requirements: Five-Layer and Seven-Layer Models

A five-layer model is a useful first map.

Ada is your guide for this deck.

requirements

Ada, the module guide, in a scene from this chapter.

After studying this chapter

Learning objectives

You will be able to:

Map the five-layer teaching view to the seven-layer IoT model.
Trace data through sensing, transport, processing, application, and business layers.
Explain: The five-layer model used earlier in the chapter is a teaching shortcut.
Explain: Low Maintenance, high 8/10: 5,000 devices with frequent battery visits would be unsustainable.

Major section

Visual Bridge: From 5 Layers to 7

The five-layer model used earlier in the chapter is a teaching shortcut.

Detailed reference architectures split the backend into more specific data and business layers when you need sharper design boundaries.
Physical, edge, and connectivity line up almost one to one with the seven-layer column beside them, so nothing is lost there.

Bridge from the five-layer teaching model to a seven-layer reference architecture.

Major section

Eleven Characteristics Selection

Low Maintenance, high 8/10: 5,000 devices with frequent battery visits would be unsustainable.

Scenario: A hospital system must choose between three remote patient monitoring (RPM) wearable devices for 5,000 chronic heart failure patients.
Fast, high 7/10:: Heart failure alerts need less than five-minute latency.
Agile, low 4/10:: Clinical protocols change slowly.

Major section

Eleven Characteristics Selection (continued)

Adaptable, medium 5/10:: Epic EHR integration matters, but the scope is defined.

Secure, critical 9/10:: Patient health data needs strong protection; HIPAA compliance is required when the deployment is a covered entity or business associate.
Upgradable, high 8/10:: FDA-required firmware patches and clinical protocol changes must reach the fleet.
Domain determines priorities.

Major section

Eleven Characteristics Selection (continued)

Growing, medium 6/10:: The system may expand to 10,000 patients, but not 100,000.

Smart, medium 6/10:: Local anomaly detection helps, but is not the primary decision driver.
On Demand, low 4/10:: Medical monitoring is periodic, not an instant-response consumer interaction.
Characteristics predict TCO: Low Maintenance and Upgradable directly correlate with operational costs.

Major section

Eleven Characteristics Selection (continued)

Upgradable, 20%:: Device A scores 2/10 because updates require return; Device B scores 10/10 with automatic OTA; Device C scores 7/10 with manual OTA.

Ubiquitous, low 3/10:: The device works at home and clinic, not everywhere.
Secure, 20%:: Device A scores 7/10 because the proprietary design is hard to audit; Devices B and C score 9/10 with standard protocols.
Cost per hospitalization: All three use the same $12,500 avoided-cost assumption.

Major section

Eleven Characteristics Selection (continued)

Fast, 15%:: Device A scores 5/10 because 15-minute intervals are too slow; Device B scores 9/10 at five minutes; Device C scores 10/10 at one minute.

Hardware for 5,000 devices: Device A costs $445,000; Device B costs $995,000; Device C costs $725,000.
Firmware updates: Device A costs $225,000 for return shipping across three updates; Device B costs $0 with OTA; Device C costs $75,000 for two manual updates.
Prevented hospitalizations per 5,000 patients per year: Device A prevents 360, Device B prevents 470, and Device C prevents 480.

Major section

Eleven Characteristics Selection (continued)

Annual savings of $4.5M, $5.875M and $6M follow only if the assumed hospitalization counts and $12,500 avoided cost hold; label this modeled value.

Decision: Device B costs $110 more per unit than Device A, but saves $331K in 5-year TCO and delivers $6.9M more in clinical value.
Device C has slightly better clinical outcomes ($600K over 5 years) but costs $226K more than Device B and scores lower on critical characteristics (Low Maintenance, Upgradable).
This framework prevents "gut feel" decisions and ensures the right trade-offs for your use case.

Major section

IoT Data Flow Layers

Edge aggregation can therefore reduce traffic and sometimes cost.

For “Connectivity Layer (Data Transmission): Wi-Fi sends the aggregated reading + trend fla”: replace “Real example” with “illustrative architecture” and label sensor rate, payload, history, cloud service and $180/year savings as assumed values.
At a hypothetical fixed price per byte, a $2/month transfer charge would fall to $0.20/month.
Actual Wi-Fi and cloud charges depend on the service and protocol overhead.

Deck summary

Key takeaways

The five-layer model used earlier in the chapter is a teaching shortcut.

Low Maintenance, high 8/10: 5,000 devices with frequent battery visits would be unsustainable.
Adaptable, medium 5/10:: Epic EHR integration matters, but the scope is defined.
Growing, medium 6/10:: The system may expand to 10,000 patients, but not 100,000.
Upgradable, 20%:: Device A scores 2/10 because updates require return; Device B scores 10/10 with automatic OTA; Device C scores 7/10 with manual OTA.

Retrieval practice

Recall check 1 of 4

Ada says: answer from memory, then check your reasoning.

Q1A team moves from a simple layer map to a detailed reference model. How should it expand the cloud box?

ACloud adds storage, data abstraction, apps and business owners.

BMerge sensing and network transport into the cloud box

CKeep one cloud box and remove the business layer

DMove all application work into the physical sensor

Show answer

Answer: A Correct: the detailed model gives those backend jobs distinct places and owners.

Q2What handles local filtering and safe control when cloud connectivity or latency is constrained?

AApplication Layer

BCloud Layer

CConnectivity Layer

DEdge Layer

Show answer

Answer: D The Edge Layer belongs near the physical system because local filtering, protocol conversion, and safe control must continue under tight latency or lost connectivity.

Retrieval practice

Recall check 2 of 4

Ada says: answer from memory, then check your reasoning.

Q3Complete the device classifier based on this chapter's minimum requirements:

Aif not has_thing:

Bif has_thing:

Cwhile not has_thing:

Dif has_local_link:

Show answer

Answer: A The logic mirrors the chapter's classification model.

Retrieval practice

Recall check 3 of 4

Ada says: answer from memory, then check your reasoning.

Q4A farmer is choosing IoT technology for soil moisture monitoring across 500 acres. The sensors need to operate for 5+ years on batteries, transmit small data packets twice daily, and work in areas with no cellular coverage. Which three IoT characteristics should be prioritized, and which connectivity technology best matches?

ASmart, Fast, and On Demand with WiFi for high-bandwidth soil data

BSecure, Agile, and Upgradable with cellular NB-IoT for reliable coverage

CLow Maintenance, Growing, and Adaptable with LoRaWAN for long-range, low-power, license-free operation

DUbiquitous, Blend into Background, and Fast with Bluetooth for energy efficiency

Show answer

Answer: C The stated field requirements favor long battery life, growth, and adaptability.

Retrieval practice

Recall check 4 of 4

Ada says: answer from memory, then check your reasoning.

Q5A fitness band measures activity, sends its data by Bluetooth to a phone, and the phone app relays that data to a cloud service. Using the Three Ingredients Test (Thing + Computation + Internet), is the band part of an IoT wearable system?

ANo -- only devices with their own Wi-Fi or cellular radio can be part of IoT

BYes -- because the smartphone app uploads data to the cloud, the band indirectly connects to the internet

CYes -- the fitness band has sensors (Thing), a processor (Computation), and Bluetooth (Internet connectivity)

DNo -- fitness bands are too simple to be classified as any type of smart device

Show answer

Answer: B The Three Ingredients Test applies to the end-to-end product architecture.

Print reference

Answers

Answer key.

A · Correct: the detailed model gives those backend jobs distinct places and owners.
D · The Edge Layer belongs near the physical system because local filtering, protocol conversion, and safe control must continue under tight latency or lost connectivity.
A · The logic mirrors the chapter's classification model.
C · The stated field requirements favor long battery life, growth, and adaptability.
B · The Three Ingredients Test applies to the end-to-end product architecture.