Abstract

Conventional IoT applications rely on seamless data collection from the distributed sensor nodes of Wireless Sensor Networks (WSNs). The energy supplied to the sensor node is limited and it depletes after each cycle of data collection. Therefore, data flow from the network to the base station may cease at any time due to the nodes with a dead battery. A replacement of the battery in WSNs is often challenging and requires additional efforts. To ensure the robust operation of WSNs, many fault recovery routing mechanisms have been proposed. Most of the previous fault recovery routing methods incur considerable delays in recovery and high overhead in either energy consumption or device cost. We propose an energy-efficient fail recovery routing method that is aimed to operate over a data aggregation network topology using a TDMA media access control (MAC). This paper introduces a novel fault recovery routing algorithm for TDMA-based WSNs. It finds an optimal neighbor backup parent (NBP) for each node in a way that reduces the energy consumption. The proposed method allows the NBPs to utilize the time slot of the faulty parent nodes, so it eliminates the overhead of TDMA rescheduling for NBPs. To evaluate the fault recovery performance and energy efficiency of the proposed method, we implemented it in C++ simulation program. Simulation experiments with an extensive set of network examples demonstrate that the proposed method can extend the network lifetime by 21% and reduce the energy consumption by 23% compared with the reference methods.

Highlights

  • The recent advancement of Wireless Sensor Networks (WSNs) has enabled a variety of Internet of Things (IoT) applications that penetrate our daily life [1]

  • We propose a fault recovery routing algorithm called an energy efficient, neighbor-extended maximal connectivity re-routing (NE-maximum connectivity local rerouting (MCR)), which does not incur any additional hardware cost, and is well suited to WSNs under stringent power constraints

  • This paper presented an energy-efficient fail recovery routing algorithm targeted for a treetopology wireless network whose nodes can fail due to battery depletion

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Summary

Introduction

The recent advancement of WSNs has enabled a variety of Internet of Things (IoT) applications that penetrate our daily life [1]. Many IoT applications are often safety related and mission-critical (e.g., health care, active volcano monitoring, fire alert, etc.) where device failures might cause serious consequences [2,3]. Wireless sensor nodes deployed for environment monitoring, periodically send their sensing data to a gateway called a sink node in a multi-hop topology [2]. Sensor nodes are used widely in the industry to monitor and accumulate the data related to the object. Deploying sensor nodes, we can receive periodic information about the environments such as wild nature (forests or deserts), special industrial facilities, etc.

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