Energy Balanced Load Distribution Through Energy Gradation in UWSNs

Underwater wireless sensor networks (UWSNs) find applications in various aspect of life like the tsunami and earthquake monitoring, pollution monitoring, ocean surveillance for defense strategies, seismic monitoring, equipment monitoring etc. The sensor node consumes more energy and load distribution suffer from imbalance at long distance. In this paper, we present an energy balanced load distribution through energy gradation (EBLOAD-EG) technique to minimize the energy consumption in direct transmission. The proposed scheme aims to balance the load distribution among different coronas of network field. In this scheme, the numbers of sensor nodes are uniformly deployed in a circular network field and the sink is located at the center of network field. In EBLOAD-EG, the accumulated data is partitioned into data fractions like small, medium and large. Simulation results show that our scheme outperforms the existing scheme in terms of energy efficiency, balanced load distribution, stability period and network lifetime.

[1]  Nadeem Javaid,et al.  An Enhanced Energy Balanced Data Transmission Protocol for Underwater Acoustic Sensor Networks , 2016, Sensors.

[2]  Jun Liu,et al.  An adaptive routing protocol in underwater sparse acoustic sensor networks , 2015, Ad Hoc Networks.

[3]  Guangzhong Liu,et al.  A new multi-path routing protocol based on cluster for underwater acoustic sensor networks , 2011, 2011 International Conference on Multimedia Technology.

[4]  Muhammad Ayaz,et al.  Underwater wireless sensor networks: routing issues and future challenges , 2009, MoMM.

[5]  Raouf Boutaba,et al.  Routing design avoiding energy holes in underwater acoustic sensor networks , 2016, Wirel. Commun. Mob. Comput..

[6]  Kaixue Ma,et al.  Adaptive Relay Chain Routing With Load Balancing and High Energy Efficiency , 2016, IEEE Sensors Journal.

[7]  Ibrahima Faye,et al.  End-to-End Delay and Energy Efficient Routing Protocol for Underwater Wireless Sensor Networks , 2014, Wirel. Pers. Commun..

[8]  Nadeem Javaid,et al.  On Energy Hole and Coverage Hole Avoidance in Underwater Wireless Sensor Networks , 2016, IEEE Sensors Journal.

[9]  Yuan Feng,et al.  Energy Balanced Strategies for Maximizing the Lifetime of Sparsely Deployed Underwater Acoustic Sensor Networks , 2009, Sensors.

[10]  Jinfeng Dou,et al.  Balance Transmission Mechanism in Underwater Acoustic Sensor Networks , 2015, Int. J. Distributed Sens. Networks.

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

[12]  Nadeem Javaid,et al.  Balanced Load Distribution With Energy Hole Avoidance in Underwater WSNs , 2017, IEEE Access.

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

[14]  Azzedine Boukerche,et al.  Geographic and Opportunistic Routing for Underwater Sensor Networks , 2016, IEEE Transactions on Computers.

[15]  Nianmin Yao,et al.  WDFAD-DBR: Weighting depth and forwarding area division DBR routing protocol for UASNs , 2016, Ad Hoc Networks.

[16]  Ian F. Akyildiz,et al.  SoftWater: Software-defined networking for next-generation underwater communication systems , 2016, Ad Hoc Networks.