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Adaptive Fuzzy-Based Energy and Delay-Aware Routing Protocol for a Heterogeneous Sensor Network

机译:基于自适应传感器网络的自适应模糊能量和延迟感知路由协议

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In a heterogeneous sensor actor network, packet loss may occur due to bad link quality, overflow of buffer, and low energy levels. Retransmission of the lost packets leads to more energy consumption and delay. Ensuring data reliability and minimum delay requirement while improving energy efficiency are challenging issues in a resource-constrained heterogeneous sensor actor network. In this paper, a fuzzy-based delay and energy-aware intelligent routing mechanism has been proposed to select efficient routes. In the proposed mechanism, routing decisions are taken using a fuzzy logic system by considering network resources, such as residual energy, quality of link, available buffer size, and distance (proximity). In a network, a node with higher residual energy, higher free available buffer, good link quality, and close distance (proximity) gets opportunity to become a next hop node in a routing path. Furthermore, network performance has been analyzed with various network states. Simulation has been carried out using Network Simulator 3 by considering performance metrics, such as delay, number of retransmissions, energy consumption, lifetime, and network stability of the network.
机译:在异构传感器演员网络中,由于链路质量不良,缓冲器溢出和低能量水平,可以发生丢包。丢失数据包的重传导致更多能耗和延迟。确保数据可靠性和最小延迟要求,同时提高能量效率是资源受限的异构传感器演员网络中的具有挑战性的问题。在本文中,已经提出了一种模糊的延迟和能量感知智能路由机制来选择有效的路由。在所提出的机制中,通过考虑网络资源,例如剩余能量,链路质量,可用缓冲区大小和距离(接近),使用模糊逻辑系统进行路由决策。在网络中,具有较高剩余能量的节点,更高的可用缓冲区,良好的链路质量和近距离(接近)获取机会,使其成为路由路径中的下一跳节点。此外,已经用各种网络状态分析了网络性能。通过考虑性能度量,例如网络的延迟,重传,能耗,寿命和网络稳定性,通过网络模拟器3进行了模拟。

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