A rendezvous point‐based data gathering in underwater wireless sensor networks for monitoring applications

Abstract

Summary In underwater wireless sensor networks (UWSNs), most of the mobile sink data gathering scheme assumes that sensor nodes are static. Also, very limited set of works aim to eliminate the data redundancy during data gathering. Moreover, the data collection latency, error rate and load have to be considered in addition to the buffer space and energy level of the nodes. Here, a mobile sink data gathering technique is designed where rendezvous points (RPs) and sojourn times are selected. The RPs, where the mobile sinks stop to gather the data, are selected based on the node density, current traffic load and energy level of nodes. The proposed scheme, that is, adaptive distributed mobile sink data gathering (ADMSDG), eliminates data redundancy even by considering mobility of all the nodes including sink node. Here, multihop data gathering is also considered to address the energy hole problem near the sink based on similarity index. To examine the result, proposed scheme and other state‐of‐the‐art schemes are implemented in NS2.30 having the same environment. Obtained results show that when proposed scheme is experimented with respect to number of nodes, the proposed ADMSDG technique achieves 18% high data collection accuracy with 5% reduced data collection delay and 5% less energy consumption. Similarly, when proposed scheme is experimented with respect to transmission range, the proposed ADMSDG technique achieves 18% high data collection accuracy with 12% reduced data collection delay and 8% less energy consumption.

An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs

“…Data Acquisition Focused [51], [52] Develop Efficient sensor node placement strategies [53] Develop Optimization strategy of computing processes [54], [55], [56], [57], [58], [59], [60], [61] Develop Output from specific sensors and interpreting process [62] Develop Routing strategies for power consumption efficiency [63], [64] Develop Data transmission speed enhancement for efficient data acquisition [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75] Develop Optimization strategies for ML, DL, RL, and specific algorithms [76], [77], [78], [79], [80], [81] Develop Optimal network resource management [82], [83], [84] Develop Integration of diverse sensors (Fusion), interpretation, and optimization strategies [85], [86], [87], [88], [89], [90], [91], [92] Develop RL model for optimizing interpretation Passive/Active Sound-navigation-and-ranging (SONAR) [93] Develop Efficient routing design for data acquisition optimization [94] Developing strategies for detecting...…”

“…One such technique involves the use of autonomous underwater vehicles (AUVs) equipped with sensors to gather data from distant underwater nodes [57]. These AUVs navigate the network [58], following predefined paths using adaptive algorithms [59], to collect data from various locations [60]. This data collection technique ensures comprehensive coverage and timely data acquisition in UWSN.…”

Water quality monitoring and sustainable operation management of marine ranches based on sensors and image enhancement

“…Therefore, the underwater robot must accurately acquire the information of the underwater image. Underwater vehicles imaging in the ocean have methods for acquiring images based on underwater sonar imaging and optical sensors [23]. The images acquired by underwater sonar are noisy and the image quality obtained is very low, so the images obtained from the light sensor are more suitable for underwater vehicle vision work.…”

An efficient self‐deployment methodology for maximized coverage of mobile underwater sensor networks

“…Here, coverage improvement is described in more detail. In reference, 7 authors have discussed how mobile sensor nodes can help to improve data collection accuracy while collecting data from the sensor nodes. The sensor nodes including the sink node have been considered as mobile nodes.…”