E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks

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E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks

E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks

In the original IPv6 routing protocol for low power and loss networks (RPL), a heterogeneous ring domain communication topology with equal area in each ring is presented as an effort to solve the energy balance problem. Based on this topology, a new clustering algorithm and event-driven cluster head rotation mechanism are also proposed.
 
The announcement message for clustering information and the acknowledgement message for clustering were designed based on the RFC and original message structure of the RPL.An energy-efficient heterogeneous ring clustering (E2HRC) routing protocol for wireless sensor networks is then proposed and appropriate routing algorithms and maintenance methods are established. Related messages will be analyzed in detail.
 

Introduction

This  implies that they must make efficient use of their resources such as memory usage, CPU power and energy. This increases the lifetime and productivity of the sensor. Energy consumption has become one of the major challenges of using WSNs.

An Energy-Efficient Heterogeneous Ring To overcome this challenge, increased efforts have been made over the past few years to minimize energy consumption using new algorithms and techniques on different layers of the WSN, including the hardware layer (i.e., sensing, processing, transmission), network layer (i.e., protocols, routing) and application layer.

 

Disadvantages

  • The routing convergence time is longer due to low network power and low loss.
  • The routing convergence time also increases if the avoiding time of each node is too long. This method is not suitable for low power, low loss networks

Advantages

The proposed clustering algorithm and cluster rotation mechanism also achieved distributed cluster rotation to prevent an energy hole, and effectively decreased the number of control packets during cluster rotation,thus balancing the network load and improving network performance.

Conclusion

We used the concept of Hessian multi-variable calculus matrix to improve energy efficiency and identify base station locations to minimize energy consumption. The proposed methodology is supported by the formulation of problems and necessary proofs. The proposed mathematical design will significantly support and improve low-energy networks.