Linear Wireless Sensor Networks Energy Minimization Using Optimal Placement Strategies of Nodes

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Linear Wireless Sensor Networks Energy Minimization Using Optimal Placement Strategies of Nodes Ahmed Hussein1,2   · Ahmed Elnakib2 · Sherif Kishk2

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Abstract Nowadays, the recent developments in the field of wireless sensor networks (WSNs) have initiated new applications of WSNs which can be used in many fields, such as military, environment, health, home and industry. One of the emerged wireless sensor networks topologies are linear wireless sensor networks (LWSNs). They have been rising as a great focus area of research. Such wireless sensor networks have a large number of applications such as border monitoring, railway track monitoring, structural health monitoring of bridges, health care and machines surveillance. LWSNs are widely applied in oil and gas pipelines infrastructure monitoring applications to enable the automatic measurement, analyses, storage and transmission of real-time data. Minimization of energy consumption of LWSNs is crucial for their proper usage. Using two different system models, this research investigates the minimization of LWSNs energy consumption using optimal node placement strategies compared to simple equal-distance placement scheme. Keywords  Wireless sensor networks · Linear wireless sensor networks · Energy consumption minimization · Optimization · Placement strategies

1 Introduction Linear wireless sensor networks (LWSNs) are rapidly growing in the last years due to the development of new technologies of relatively cheap sensors [1, 2]. The specifications of these electronic devices have been improved in memory, processing speed, node size, and communication and networking [3]. All of these aspects have made it possible to use them in many important applications, such as underground pipeline monitoring [4] monitoring * Ahmed Hussein [email protected] Ahmed Elnakib [email protected] Sherif Kishk [email protected] 1

The Egyptian Natural Gas Company (GASCO), New Cairo, Egypt

2

Department of Electronics and Communication Engineering, Mansoura University, Mansoura, Egypt



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of oil and gas pipelines [5] cathodic protection remote monitoring [6–9], safety monitoring in railway transportation [10] and structural health monitoring of bridges [11]. The main challenge of designing LWSNs is how to properly gather and relay the sensor nodes data to sink node efficiently for long distance transmissions, which usually consumes high energy due to the need for data processing and analysis. Generally, wireless sensor nodes have limited coverage area because of the low transmission power due to its low capacity battery. Considering the waste of effort, cost and time of replacing the battery after installing the sensor nodes along the network, it is very important to efficiently handle their energy consumption to achieve the maximum network lifetime. To gather data in LWSNs multi-hop data forwarding patterns are utilized. In these patterns, sensor nodes that are remote fr