Communications and Network

Volume 5, Issue 3 (September 2013)

ISSN Print: 1949-2421   ISSN Online: 1947-3826

Google-based Impact Factor: 0.63  Citations  

A Chain Routing Algorithm Based on Traffic Prediction in Wireless Sensor Networks

HTML  Download Download as PDF (Size: 445KB)  PP. 504-507  
DOI: 10.4236/cn.2013.53B2092    3,444 Downloads   5,382 Views  Citations

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.

Share and Cite:

Sun, Y. , Xu, L. , Wu, X. and Shen, M. (2013) A Chain Routing Algorithm Based on Traffic Prediction in Wireless Sensor Networks. Communications and Network, 5, 504-507. doi: 10.4236/cn.2013.53B2092.

Cited by

[1] Routing in WSN using ACO
International Journal of Science and Research, 2016
[2] 基于流量预报的 WSNs 自适应占空比算法
计算机科学, 2015
[3] Survey on Routing Algorithm
2015
[4] 基于流量预报的 wsN. 自适应占空比算法
2015

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.