Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

High end-to-end delay is a major challenge in autonomous underwater vehicle (AUV)-aided routing protocols for underwater monitoring applications. In this paper, a new routing protocol called atomic-shaped efficient delay and data gathering (ASEDG) has been introduced for underwater wireless sensor networks. The ASEDG is divided into two phases; in the first phase, the atomic-shaped trajectory model with horizontal and vertical ellipticals was designed for the movement of the AUV. In the second phase, two types of delay models were considered to make our protocol more delay efficient: member nodes (MNs) to MNs and MNs to gateway nodes (GNs). The MNs-to-MNs delay in the network specifies how long is required for the selection of the next possible forwarders by eliminating the chances of backtracking and a higher number of association links. The MNs-to-GNs delay is considered to choose the path from a multipath environment that takes a minimum amount of time for sending the packet from its generation to destination node. For efficient data gathering, this new trajectory model creates the maximum possible GNs for the association of the MNs. Furthermore, our protocol, ASEDG, has been evaluated by using the aquasim network simulator (NS-2), and its results were compared with the already existing protocol, an efficient data gathering (AEDG) routing protocol. The simulation results show that the ASEDG performed better than the AEDG in terms of end-to-end delay and throughput.

[1]  Nadeem Javaid,et al.  Improved HydroCast: A Technique for Reliable Pressure Based Routing for Underwater WSNs , 2016, 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS).

[2]  Ho-Shin Cho,et al.  Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach , 2016, Sensors.

[3]  M. Carmen Aguayo-Torres,et al.  Wireless Underwater Communications , 2012, Wirel. Pers. Commun..

[4]  Yahong Rosa Zheng,et al.  Task Assignment and Path Planning for Multiple Autonomous Underwater Vehicles Using 3D Dubins Curves † , 2017, Sensors.

[5]  Nadeem Javaid,et al.  SEDG: Scalable and Efficient Data Gathering Routing Protocol for Underwater WSNs , 2015, ANT/SEIT.

[6]  Low Tang Jung,et al.  Diagonal and Vertical Routing Protocol for Underwater Wireless Sensor Network , 2014 .

[7]  Chien-Fu Cheng,et al.  Data gathering problem with the data importance consideration in Underwater Wireless Sensor Networks , 2017, J. Netw. Comput. Appl..

[8]  Nadeem Javaid,et al.  An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks , 2015, Sensors.

[9]  Huseyin Ugur Yildiz,et al.  Packet Size Optimization for Lifetime Maximization in Underwater Acoustic Sensor Networks , 2019, IEEE Transactions on Industrial Informatics.

[10]  Nianmin Yao,et al.  Relative Distance Based Forwarding Protocol for Underwater Wireless Networks , 2014, Int. J. Distributed Sens. Networks.

[11]  José-Fernán Martínez,et al.  A Survey on Underwater Acoustic Sensor Network Routing Protocols , 2016, Sensors.

[12]  Guangjie Han,et al.  AREP: An asymmetric link-based reverse routing protocol for underwater acoustic sensor networks , 2017, J. Netw. Comput. Appl..

[13]  Peng Wang,et al.  Path Planning Technologies for Autonomous Underwater Vehicles-A Review , 2019, IEEE Access.

[14]  Anil Kumar Verma,et al.  Data aggregation in underwater wireless sensor network: Recent approaches and issues , 2017, J. King Saud Univ. Comput. Inf. Sci..

[15]  Awais Ahmad,et al.  AEERP: AUV aided energy efficient routing protocol for underwater acoustic sensor network , 2013, PM2HW2N '13.

[16]  Ho-Shin Cho,et al.  SOUNET: Self-Organized Underwater Wireless Sensor Network , 2017, Sensors.

[17]  Kuei-Ping Shih,et al.  Tour Planning for AUV Data Gathering in Underwater Wireless , 2015, 2015 18th International Conference on Network-Based Information Systems.

[18]  Muhammad Arshad,et al.  A Survey of Routing Issues and Associated Protocols in Underwater Wireless Sensor Networks , 2017, J. Sensors.

[19]  Sunghwan Kim,et al.  AURP: An AUV-Aided Underwater Routing Protocol for Underwater Acoustic Sensor Networks , 2012, Sensors.

[20]  Roberto Petroccia,et al.  CARP: A Channel-aware routing protocol for underwater acoustic wireless networks , 2015, Ad Hoc Networks.

[21]  Chien-Chi Kao,et al.  A Comprehensive Study on the Internet of Underwater Things: Applications, Challenges, and Channel Models † , 2017, Sensors.

[22]  Ho-Shin Cho,et al.  A Distributed Data-Gathering Protocol Using AUV in Underwater Sensor Networks , 2015, Sensors.

[23]  Nadeem Javaid,et al.  The 6 th International Conference on Ambient Systems , Networks and Technologies ( ANT 2015 ) AEDG : AUV-aided E ffi cient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks , 2015 .

[24]  Sandeep Kumar Jain,et al.  A Review Paper on: Autonomous Underwater Vehicle , 2015 .

[25]  Yahong Rosa Zheng,et al.  3-Dimensional Path Planning for Autonomous Underwater Vehicle , 2018, OCEANS 2018 MTS/IEEE Charleston.

[26]  Abdul Hanan Abdullah,et al.  Efficient underwater RSS value to distance inversion using the Lambert function , 2014 .

[27]  Heungwoo Nam,et al.  Data-Gathering Protocol-Based AUV Path-Planning for Long-Duration Cooperation in Underwater Acoustic Sensor Networks , 2018, IEEE Sensors Journal.

[28]  Umar Draz,et al.  Comparison of DBR and L2-ABF routing protocols in underwater wireless sensor network , 2018, 2018 15th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

[29]  Geoffrey A. Hollinger,et al.  Underwater Data Collection Using Robotic Sensor Networks , 2012, IEEE Journal on Selected Areas in Communications.

[30]  Low Tang Jung,et al.  Three hops reliability model for Underwater Wireless Sensor Network , 2014, 2014 International Conference on Computer and Information Sciences (ICCOINS).