Abstract

As a representative of chain-based protocol in Wireless Sensor Networks (WSNs), EEPB is an elegant solution on energy efficiency. However, in the latter part of the operation of the network, there is still a big problem: reserving energy of the node frequently presents the incapacity of directly communicating with the base station, at the same time capacity of data acquisition and transmission as normal nodes. If these nodes were selected as LEADER nodes, that will accelerate the death process and unevenness of energy consumption distribution among nodes.This paper proposed a chain routing algorithm based ontraffic prediction model (CRTP).The novel algorithmdesigns a threshold judgment method through introducing the traffic prediction model in the process of election of LEADER node. The process can be dynamically adjusted according to the flow forecasting. Therefore, this algorithm lets the energy consumption tend-ing to keep at same level. Simulation results show that CRTP has superior performance over EEPB in terms of balanced network energy consumption and the prolonged network life.

Highlights

  • Wireless Sensor Networks (WSNs) is a technology combined with computer, micro sensors and wireless communication [1]

  • This paper proposed a chain routing algorithm based on traffic prediction model (CRTP)

  • Improving energy efficiency, balancing the node energy consumption and prolonging network life time have become a judgment in WSNs routing protocol [8]

Read more

Summary

Introduction

Wireless Sensor Networks (WSNs) is a technology combined with computer, micro sensors and wireless communication [1]. Improving energy efficiency, balancing the node energy consumption and prolonging network life time have become a judgment in WSNs routing protocol [8]. International and domestic academics have put forward improved algorithms from different angles to avoid long chains [1014] When these algorithms select the LEADER of the chain, they only consider the factor of the residual energy or the same as PEGASIS, and still can’t avoid the problem of inconsistent energy consumption of the nodes. After running a long time, nodes in network are not strong enough to send the fusion of data to base station, but still can be used as data acquisition or transmission nodes among chains If these nodes were chosen as the LEADER of the chain, it would cause the waste of node energy, weaken the network robustness and shorten sur- vival time.

Traffic Prediction Model
CRTP Algorithm
Chain-Building Stage
LEADER Node Selection Algorithm Based on the ARMA Model
The Simulation and Analysis
Findings
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.