Abstract

Electromagnetic (EM) waves cannot propagate more than few meters in sea water due to the high absorption rate. Acoustic waves are more suitable for underwater communication, but they travel very slowly compared to EM waves. The typical speed of acoustic waves in water is 1500 m/s, whereas speed of EM waves in air is approximately 3 × 108 m/s. Therefore, the terrestrial wireless sensor network (WSN) protocols assume that the propagation delay is negligible. Hence, reactive protocols are deemed acceptable for WSNs. Other important issues related to underwater wireless sensor networks (UWSNs) are determining the position of the underwater nodes and keeping a time synchronization among the nodes. Underwater nodes can neither determine their position nor synchronize using Global Navigation Satellite Systems (GNSS) because of the short penetration of EM waves in sea water. The limited mobility of UWSN nodes and variation in the propagation speed of acoustic waves make time synchronization a challenging task for underwater acoustic networks (UASNs). For all these reasons, WSN protocols cannot be readily used in UASNs. In this work, a protocol named SPRINT is designed to achieve high data throughput and low energy operation in the nodes. There is a tradeoff between the throughput and the energy consumption in the wireless networks. Longer links mean higher energy consumption. On the other hand, the number of relay nodes or hops between the source node and the final destination node is a key factor which affects the throughput. Each hop increases the delay in the packet forwarding and, as a result, decreases the throughput. Hence, energy consumption requires the nearest nodes to be chosen as forwarding nodes, whereas the throughput requires the farthest node to be selected to minimize the number of hops. SPRINT is a cross-layer, self-organized, proactive protocol which does not require positioning equipment to determine the location of the node. The routing path from the node to the gateway is formed based on the distance. The data sending node prefers to choose the neighbor node which is closest to it. The distance is measured by the signal strength between the two nodes.

Highlights

  • Underwater wireless sensor networks (UWSNs) have many applications related to environmental monitoring, disaster alerts, and military surveillance

  • The nodes are suspended by a rope or a chain, which is attached to the surface buoys or the anchors at the bottom of Sensors 2019, 19, 5487; doi:10.3390/s19245487

  • The position of the nodes can be determined by measuring their distance from the water surface by means of depth sensors. This method is used by many routing protocols, like Depth-based routing (DBR) [3], LB-AGR [4], and Vector-based forwarding (VBF) [5]

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Summary

Introduction

Underwater wireless sensor networks (UWSNs) have many applications related to environmental monitoring, disaster alerts, and military surveillance. Toa select a relay the of position of its candidate nodes should be Fornodes example, nodes All of these nodes will receive the nodes A, B, C, D, E, F, and G in Figure 2 are at one hop distance from node S. The position of the nodes can be determined by measuring their distance from the water surface by means of depth sensors. This method is used by many routing protocols, like DBR [3], LB-AGR [4], and VBF [5].

Protocols Based on RSS
Location-Based Protocols
Opportunistic Protocols
Overview of the SPRINT Protocol
Absorption
Packet
Forwarding the RR Packet
Theit RSS between
Mathematical Analysis
Results
Simulation
12. Number
13. Number
14. Number
Transmission
21. Energy per node node per per packet packet for for 400
24. Average
Conclusions
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