New Development of Physarum Routing Algorithm with Adaptive Power Control

Muhamad Asvial, Muh Asnoer Laagu

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Internet of Things (IoT) network infrastructure now days growing very significantly, along with the number of smart devices being used in everyday life. The existence of obstacles in the Internet of Things (IoT) network area is the biggest challenge in the IoT routing network. This obstacle in the IoT network can be a wall or the absence of a router in a specific area. The routing development to facing obstacles problems has been done a lot, however, there no routing algorithm that can overcome that obstacle. This research proposed a Physarum Routing Algorithm with Adaptive Power Control (PRA-APC) to solve the problem of IoT obstacles in the network. PRA-APC method provides sufficient power to the last node before the obstacle so it can be able to pass through the obstacle to the final destination node. PRA-APC routing method will compare with other routing algorithms such as Physarum inspired Routing Protocol (P-iRP) and Robust Selection Physarum-inspired Routing Protocol (RS-PRP). The PRA-APC protocol can develop the shortest routing path, 70% better than P-iRP and RS-PRP. The result of the delay more efficient, network lifetime is longer, throughput is much better than other routing algorithm protocols. The PRA-APC routing performance improvement results in efficiency and balance of resources in the network so that it can extend the life span of IoT networks that have limited resources in the local IoT network infrastructure. The new development of the PRA-APC routing protocol can provide solutions to overcome the problem of obstacles in the IoT network.

Original languageEnglish
Article number9374422
Pages (from-to)74868-74878
Number of pages11
JournalIEEE Access
Publication statusPublished - 2021


  • adaptive power control
  • Internet of Things
  • internet of things
  • Logic gates
  • Mathematical model
  • network obstacle
  • Organisms
  • Physarum algorithm
  • Routing
  • routing protocol
  • Routing protocols
  • Wireless sensor networks


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