MSc thesis defence

Scheduling for low-power sensor networks

Can duty-cycle scheduling extend battery life without losing data?

Student NameSupervisor: Prof. SampleOctober 2026

Outline

  1. Problem and question 3 min
  2. Method 5 min
  3. Results 8 min
  4. Limits and future work 4 min

Batteries, not radios, set the lifetime of a sensor network.

Research question: how much lifetime can a smarter schedule buy?

The thesis in four lines

Question to contribution

  1. Can an adaptive duty cycle extend lifetime at equal delivery?

  2. A scheduler that adapts to traffic, tested in simulation and on 20 nodes.

  3. 31 percent longer lifetime, delivery ratio above 98 percent.

  4. An open scheduler and a reproducible testbed

    Code and traces released with the thesis.

31 percent longer lifetime

Delivery ratio stayed above 98 percent in all three.

SchedulerLifetime
Always on42
Fixed 10% duty118
Adaptive155
20-node testbed, mean of five runs, sample figures

Limits and what comes next

Limits

  • One radio platform
  • Indoor testbed, stable links

Future work

  • Outdoor deployment
  • Joint scheduling and routing

Thank you

Questions

Student Student Namestudent@example.edu