|
| Paper | Forwarding protocol | Forwarding strategy | Tool | Scenario | Performance metrics |
|
| 21 | Epidemic | Flooding | NS2 and Monarch | Synthetic (nodes randomly placed) | Delivery rate, latency, and number of hops |
| 22 | Prophet | Probabilistic | Own custom simulator + random way point | Synthetic (nodes randomly placed) | Average received messages, average forwarded messages, and average delay |
| 23 | BubbleRap | Social behavior | HaggleSim emulator | Real traces dataset (Infocom05, HongKong, Cambridge, and Infocom06) | Delivery ratio and total cost |
| 24 | TDOR | Geographic (GPS) | ONE simulator | Helsink city map (artificial-nodes randomly placed) | Delivery ratio, average delivery latency, and overhead ratio |
| 25 | M-GEDIR | Multi strategies (geographic, signal strength, speed, distance, and position) | NS2 and MOVE | Synthetic (nodes randomly placed) | End-to-end delay, link failure, and throughput |
| 26 | CARTOON | Adaptive in flooding or probabilistic | ONE simulator | Real traces dataset (UMass DieselNet, ZebraNet, WDM, iMotes, and Dartmouth) | Delivered message ratio, average end-to-end delay, and number of delivered messages |
| 27 | GeOpps-N | Topology-based | OMNET++, MOVE, SUMO, VEIS | OSM database | Delivery ratio, end-to-end delay, and overhead ratio |
| 28 | CBLTR, IDVR and CORA | Cluster-based (social behavior) and intersection-based (geographic) | SUMO e MATLAB | Synthetic (nodes and obstacles custom placed) | Average throughput, end-to-end delay, and number of messages |
| 29 | A-STAR and GPSR | Geographic | SUMO | Bathinda city map-OSM database | Throughput, delivery ratio, packet loss, and average delay |
| 30 | EGSR | Position-based and social behavior | OMNET++ and SUMO | Manhattan city map (nodes randomly placed) | Delivery ratio, overhead ratio, and packet loss |
| 31 | PA-GPSR | Geographic | NS3 and SUMO | Synthetic (nodes and obstacles custom placed) | Packet loss rate, end-to-end delay, and network yield |
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