NDLI: A new load balancing and data collection algorithm for energy saving in wireless sensor networks

Content Provider	Springer Nature Link
Author	Guan, Xin Guan, L. Wang, X. G. Ohtsuki, Tomoaki
Copyright Year	2010
Abstract	Data gathering is a major function of many applications in wireless sensor networks. The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requirements of special applications or users. Wireless sensor networks are characterized by centralized data gathering, multi-hop communication and many to one traffic pattern. These three characteristics can lead to severe packet collision, network congestion and packet loss, and even result in hot-spots of energy consumption thus causing premature death of sensor nodes and entire network. In this paper, we propose a load balance data gathering algorithm that classifies sensor nodes into different layers according to their distance to sink node and furthermore, divides the sense zone into several clusters. Routing trees are established between sensor node and sink depending on the energy metric and communication cost. For saving energy consumption, the target of data aggregation scheme is adopted as well. Analysis and simulation results show that the algorithm we proposed provides more uniform energy consumption among sensor nodes and can prolong the lifetime of sensor networks.
Starting Page	313
Ending Page	322
Page Count	10
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	45
Issue Number	4
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2010-02-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Data aggregation Data gathering Hop count Load balance Probability Theory and Stochastic Processes Artificial Intelligence (incl. Robotics) Computer Communication Networks Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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