A Dynamic Routing Algorithm for Data-Aggregation Optimization in Event-Driven Wireless Sensor Networks

2013 ◽  
Vol 8 (8) ◽  
pp. 521-528 ◽  
Author(s):  
Yalin Nie ◽  
Sanyang Liu ◽  
Zhibin Chen ◽  
Xiaogang Qi
2013 ◽  
Vol 24 (5) ◽  
pp. 881-892 ◽  
Author(s):  
Fengyuan Ren ◽  
Jiao Zhang ◽  
Yongwei Wu ◽  
Tao He ◽  
Canfeng Chen ◽  
...  

2014 ◽  
Vol 681 ◽  
pp. 235-238
Author(s):  
Xin Xin Zhou ◽  
Yan Zhao

Wireless sensor networks (WSNs) is taking an increasing role in our lives. Because the energy of the sensors is limited how to efficiently use the energy to prolong the lifecycle of the sensor networks is very important. In this paper, a novel energy-balanced dynamic routing algorithm based on ACO is proposed. The novel routing algorithm can dynamically choose routing according to the residual energy of the sensors and the sensors with more power is taken more data transfer tasks. The simulation results show that the proposed routing algorithm can effectively balance energy consumption and prolong the lifecycle of the networks.


Author(s):  
Gopikrishnan S. ◽  
Priakanth P.

Energy efficient data aggregation is a key solution to enhance the lifetime of wireless sensor networks since sensor nodes are battery-powered and deployed in remote environments. This article explore a two-hop data aggregation tree construction algorithm using binary search tree to reduce the total energy consumption of sensor nodes in wireless sensor networks. An adaptive and hybrid routing algorithm for simultaneous data aggregation and exploit the data correlation between nodes using the two-hop data aggregation tree framework is proposed. Routes are chosen based on the shortest response time for the broadcasting request to minimize the total energy expended by the network. This paper also proposes a high secure asymmetric key cryptography algorithm to provide the secure data communication among the network. The data aggregation function that is used in the proposed routing algorithm enhances the lifetime of sensor network by resolving the delay, collision and security issues. Simulations results show that the binary tree based data aggregation can appreciably reduces the total energy consumption and resolves the maximum data aggregation issues in wireless sensor network.  


Sign in / Sign up

Export Citation Format

Share Document