Energy Efficient IDS Node Distribution Algorithm using Minimum Spanning Tree in MANETs
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초록
In mobile ad hoc networks(MANETs), all the nodes in a network have limited resources. Therefore,communication topology which has long lifetime is suitable for nodes in MANETs. And MANETs areexposed to various threats because of a new node which can join the network at any time. There arevarious researches on security problems in MANETs and many researches have tried to make efficientschemes for reducing network power consumption. Power consumption is necessary to secure networks,however too much power consumption can be critical to network lifetime. This paper focuses on energyefficient monitoring node distribution for enhancing network lifetime in MANETs. Since MANETs cannotuse centralized infrastructure such as security systems of wired networks, we propose an efficient IDSnode distribution scheme using minimum spanning tree (MST) method to cover all the nodes in a networkand enhance the network lifetime. Simulation results show that the proposed algorithm has betterperformance in comparison with the existing algorithms.
Abstract
In mobile ad hoc networks(MANETs), all the nodes in a network have limited resources. Therefore,communication topology which has long lifetime is suitable for nodes in MANETs. And MANETs areexposed to various threats because of a new node which can join the network at any time. There arevarious researches on security problems in MANETs and many researches have tried to make efficientschemes for reducing network power consumption. Power consumption is necessary to secure networks,however too much power consumption can be critical to network lifetime. This paper focuses on energyefficient monitoring node distribution for enhancing network lifetime in MANETs. Since MANETs cannotuse centralized infrastructure such as security systems of wired networks, we propose an efficient IDSnode distribution scheme using minimum spanning tree (MST) method to cover all the nodes in a networkand enhance the network lifetime. Simulation results show that the proposed algorithm has betterperformance in comparison with the existing algorithms.
참고문헌 (11)
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