基于多智能体的难以到达区域无线传感器网络能量和故障感知方案

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Autonomous and Adaptive Communications Systems Pub Date : 2022-01-01 DOI:10.1504/IJAACS.2022.10038941
Rajendra Kumar Dwivedi, Rakesh Kumar, R. Buyya
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引用次数: 1

摘要

传感器网络在难以到达的地区有各种各样的应用。传感器能量有限。因此,我们设计了几种节能方法,以尽量减少能源消耗。本文发现并解决了现有多个agent方案在能耗、故障处理、行程规划和sink定位等方面的局限性。现有的协议将接收器置于感应区域的中心。在难以到达的地区,这项工作非常困难。为此,设计了一种基于多智能体的难以到达区域的能量和故障感知方案。为高能中心节点的识别提供了一种累积影响因子(AIF)方法。其新颖的agent迁移方案提高了能源效率。动态规划行程可以实现容错。在Castalia模拟器上对所提出的协议进行了仿真,并在各种指标上对其性能进行了评估,结果表明MAHT优于现有方案。
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A multi agent based energy and fault aware scheme for WSN of hard-to-reach territories
: There are various applications of sensor networks in hard-to-reach territories. Sensor has limited energy. Therefore, several energy efficient methodologies have been devised to minimise the energy consumption. The manuscript discovers and resolves limitations of the existing multiple agent schemes which include energy consumption, fault handling, itinerary planning and positioning of sink. Existing protocols placed sink at centre of sensing area. This job is very difficult in hard-to-reach territories. So, a multi agent based energy and fault aware scheme for hard-to-reach territories (MAHT) has been devised. It provides a method of accumulated impact factor (AIF) for identifying the central node with high energy. Its novel agent migration scheme improves the energy efficiency. Planning the itinerary dynamically results in fault tolerance. Proposed protocol is simulated with Castalia simulator and its performance is evaluated on various metrics demonstrating that MAHT outperforms the existing schemes.
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0.70
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28
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