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. 2020 Jun 19;20(12):3467. doi: 10.3390/s20123467

Table 1.

Similarities and differences.

iAMCTD Mobicast DIEER
Deployment
Strategy
Random, 3D deployment for monitoring ocean column sensing Random, 3D deployment for monitoring ocean column sensing Random, 3D deployment for monitoring ocean column sensing
Data collection
  • Through mobile Sink

  • DBR-based, through forwarder nodes

  • Through mobile Sink

  • Through mobile Sink

  • DBR-based, through forwarder nodes

Data-forwarding
mechanism
  • DBR-based

  • Holding time calculation based

Sleep–awake
mechanism through mobile sink
  • DBR-based

  • Holding time calculation based

Holding time calculation
  • Based on node’s depth

  • Forwarding function metric-based

No holding time
calculation
  • Based on node’s depth

  • Depth threshold-based

Sensing mechanism Periodic regularsensing Periodic regularsensing Periodic regularsensing
Sink mobility pattern
  • Initially wide elliptical paths

  • In sparse conditions narrow elliptical paths

  • Apple slice technique used to cover all 3D zone of reference

  • Regular fixed elliptical paths

Data Aggregation Simple Simple With pattern matching
Addresses time
critical applications
Yes No Yes
Performance Evaluation
Parameters
  • Average energy consumption

  • End-to-end delay

  • Throughput

  • Transmission loss

  • Network life time in terms of alive nodes and dead nodes

  • Average energy consumption

  • End-to-end delay

  • Through put Successful packet delivery ratio

  • Average energy consumption

  • End-to-end delay

  • Throughput

  • Network life time in termsof alive nodes and dead nodes

  • Scalability Analysis for:
    • Network lifetime
    • Throughput
    • Energy consumption