Abstract
Sensor replacement in the rechargeable wireless sensor network (R-WSN) is important to provide continuous sensing services once sensor node failure or damage occurs. However, satisfactory solutions have not been found yet in developing a sustainable network and effectively prolonging its lifetime. Thus, we propose a new technique for detecting, reporting, and handling sensor failure, called sector-based replacement (SBR). Base station (BS) features are utilized in dividing the monitoring field into sectors and analyzing the incoming data from the nodes to detect the failed nodes. An airplane robot (Air-R) is then sent to a replacement task trip. The goals of this study are to (i) increase and guarantee the sustainability of the R-WSN; (ii) rapidly detect the failed nodes in sectors by utilizing the BS capabilities in analyzing data and achieving the highest performance for replacing the failed nodes using Air-R; and (iii) minimize the Air-R effort movement by applying the new field-dividing mechanism that leads to fast replacement. Extensive simulations are conducted to verify the effectiveness and efficiency of the SBR technique.
Highlights
Wireless sensor networks (WSNs) have received significant attention from the research community in past years; they are used for various applications in several fields [1]
We examine the influence of sector-based replacement (SBR) on both networks to show the effectiveness of our proposed technique
We investigate a small network consisting of 10–100 nodes that are randomly deployed in the monitoring field with radius R = 100 m and a large network consisting of 100–1000 nodes with radius R = 600 m
Summary
Wireless sensor networks (WSNs) have received significant attention from the research community in past years; they are used for various applications in several fields [1]. A network usually consists of battery-powered wireless devices with sensing and communication capabilities that collect data about the environment or an event of interest (e.g., light, temperature, and movement) and relay data toward a “sink” in a multi-hop manner [2] Research in this field has been dynamic for years, and several open issues await valid solutions [3]. Many factors affect solar energy harvesting, including the weather, the season, and time (weather exposed under the sun) This constitutes a great challenge in the design of energy efficient protocols for wireless sensor networks (in order to maintain them, improve their energy efficiency, and extend the lifetime of the networks) [6]
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