Self-Organized Proactive Routing Protocol for Non-Uniformly Deployed Underwater Networks

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.

[1]  Peng Xie,et al.  Efficient Vector-Based Forwarding for Underwater Sensor Networks , 2010, EURASIP J. Wirel. Commun. Netw..

[2]  Geoffrey G. Xie,et al.  A Networking Protocol for Underwater Acoustic Networks , 2000 .

[3]  Zhigang Jin,et al.  An Energy-Efficient and Obstacle-Avoiding Routing Protocol for Underwater Acoustic Sensor Networks , 2018, Sensors.

[4]  Xiaohui Wei,et al.  RECRP: An Underwater Reliable Energy-Efficient Cross-Layer Routing Protocol † , 2018, Sensors.

[5]  Milica Stojanovic,et al.  Underwater acoustic communication channels: Propagation models and statistical characterization , 2009, IEEE Communications Magazine.

[6]  Milica Stojanovic,et al.  On the relationship between capacity and distance in an underwater acoustic communication channel , 2006, Underwater Networks.

[7]  Mario Gerla,et al.  VAPR: Void-Aware Pressure Routing for Underwater Sensor Networks , 2013, IEEE Transactions on Mobile Computing.

[8]  Kuo-Feng Ssu,et al.  An energy-efficient routing protocol in underwater sensor networks , 2008, 2008 3rd International Conference on Sensing Technology.

[9]  Seungjoon Lee,et al.  Efficient geographic routing in multihop wireless networks , 2005, MobiHoc '05.

[10]  Dongkyun Kim,et al.  EEDBR: Energy-Efficient Depth-Based Routing Protocol for Underwater Wireless Sensor Networks , 2011 .

[11]  Nirvana Meratnia,et al.  Underwater Acoustic Wireless Sensor Networks: Advances and Future Trends in Physical, MAC and Routing Layers , 2014, Sensors.

[12]  Kiseon Kim,et al.  HydroCast: Pressure Routing for Underwater Sensor Networks , 2016, IEEE Transactions on Vehicular Technology.

[13]  Fan Liu,et al.  LB-AGR: level-based adaptive geo-routing for underwater sensor network , 2014 .

[14]  Kate Ching-Ju Lin,et al.  EFFORT: energy-efficient opportunistic routing technology in wireless sensor networks , 2013, Wirel. Commun. Mob. Comput..

[15]  Nadeem Javaid,et al.  Mobile Sinks Assisted Geographic and Opportunistic Routing Based Interference Avoidance for Underwater Wireless Sensor Network , 2018, Sensors.

[16]  Peng Xie,et al.  VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks , 2006, Networking.

[17]  Ruiqin Zhao,et al.  Path Diversity Improved Opportunistic Routing for Underwater Sensor Networks , 2018, Sensors.

[18]  Jung-Il Namgung,et al.  Multi-Media and Multi-Band Based Adaptation Layer Techniques for Underwater Sensor Networks , 2019, Applied Sciences.

[19]  Jun-Hong Cui,et al.  DBR: Depth-Based Routing for Underwater Sensor Networks , 2008, Networking.

[20]  Rahmat Budiarto,et al.  RSS-based distance measurement in Underwater Acoustic Sensor Networks: An application of the Lambert W function , 2010, 2010 4th International Conference on Signal Processing and Communication Systems.