Energy Attentive Pre-fault Detection Mechanism with Multilevel Transmission for Distributed Wireless Sensor Network

Abstract

To recognize the vision of ambient intelligence, wireless sensor networks (WSNs) are broadly used to invent real time and smart applications. Energy has been a major concern in sensor networks. Another challenging issue of wireless sensor network is to discover the imperfect node and recover them to maintain network topology. Enhancement of network lifetime, reliability and scalability also depends on fault detection and recovery mechanism. Distributed Energy Attentive Pre Fault Detection Mechanism is proposed in this work for pre fault detection and multipath routing. The novel idea behind this approach is to recognize the sensor fault in advanced and performed the improvement action based on notification parameter like acknowledgement not received, residual energy is below threshold value and hope count distance. It enables a predesor node to rapidly identify and efficiently categories the next energy aware shortest path, upon steering failure, rather than relying from the starting place. Extensive simulations are performed and result demonstrates that the proposed algorithms perform well on various performance indicator metrics such as throughput, energy consumption, packet drop ratio, and communication delay.

Fuzzy Logic and Modified Butterfly Optimization with Efficient Fault Detection and Recovery Mechanisms for Secured Fault-Tolerant Routing in Wireless Sensor Networks

“…However, this method considered only the route failures, while ignoring both node and link failures. Talmale et al [25] developed an energy-aware Distributed Pre Fault Detection Routing Mechanism (DPFDRM) for WSN in which the Kuartz graph was used for detection, while the actuator nodes were used for path selection based on energy. However, this approach is complex and also degrades the overall QoS.…”

Security Analysis on Wireless Sensor Network in the Data Center for Energy Internet of Things

“…In a modern DC, numerous wireless sensors are deployed to form a network, which adopts various sensing techniques for environmental detection and equipment control [10]. However, the proliferation of the Internet of Things (IoT) has pushed up the security risk and energy cost of the wireless sensor network (WSN) [11][12][13][14][15][16]. The DC industry faces an urgent need to design an efficient strategy for information security management (ISM), and to reduce the energy consumption of the network.…”