• Title/Summary/Keyword: 모방

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Design and Implementation of a Multi-Intelligent Agent based Platform for a Bio-Inspired System (생태계 모방 시스템을 위한 멀티 지능형 에이전트 기반의 플랫폼 설계 및 구현)

  • Moon, Joo-Sun;Nang, Jong-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.7
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    • pp.545-549
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    • 2007
  • The Bio-Inspired System focuses on the creation of an effective system model for massive network applications and is being widely developed. However, the system has a problem-difficulty implementing three features in the system, which includes scalability, adaptability and survivability. To solve this problem, we designed an Ecogent as a multiple intelligence agent, and a Bio-platform to address the three features of scalability, adaptability and survivability. The Bio-Inspired System Platform consists of an ERS (Ecogent Runtime Services) Platform and a Bio-Platform. The ERS platform serves the basic functions of mobile agents, such as Registration, Life Cycle, Migration, Communication, Location and Fault Tolerance. The Bio-Platform includes the functions of Evolution Control and Stigmergy Control to address evolution and adaptation.

Bio-Inspired Routing Protocol for Mobile Ad Hoc Networks (이동 애드혹 네트워크를 위한 생체모방 라우팅 프로토콜)

  • Choi, Hyun-Ho;Roh, Bongsoo;Choi, HyungSeok;Lee, Jung-Ryun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.11
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    • pp.2205-2217
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    • 2015
  • Bio-inspired routing protocol uses a principle of swarm intelligence, which finds the optimal path to the destination in a distributed and autonomous way in dynamic environments, so that it can maximize routing performances, reduce control overhead, and recover a path failure quickly according to the change of network topology. In this paper, we propose a bio-inspired routing protocol for mobile ad hoc networks. The proposed scheme uses a function of overhearing via wireless media in order to obtain the routing information without additional overhead. Through overhearing, the pheromone is diffused around the shortest path between the source and destination. Based on this diffused pheromone, a probabilistic path exploration is executed and the useful alternative routes between the source and destination are collected. Therefore, the proposed routing protocol can ensure the up-to-date routing information while reducing the control overhead. The simulation results show that the proposed scheme outperforms the typical AODV and AntHocNet protocols in terms of routing performances and significantly decreases the routing overhead against the AntHocNet.