Abstract
Abstract
As the crossed domain of multi-subject, wireless sensor network (WSN) is a major
development of the traditional sensor. In WSN, a large number of cheap sensor nodes
scattered deployed in the monitored region, real-time monitoring and collecting the
information of monitored objects, and sending the information to the sink node. In the
relevant fields of application, WSN has brought a depth revolution in information perception
for its characteristics of reliability, accuracy, flexibility, economy, and easy layout features.
Because the nodes in WSN use energy-limited battery and can not be free to charge or replace
the battery, so how to reduce energy consumption and balance energy consumption between
nodes has been a research hotspot in this field. Routing overhead of the network increases
dramatically with the increasing number of nodes in WSN, therefore a reasonable routing
algorithm is very important. In routing protocols, clustering routing protocol can effectively
save energy and balance energy consumption between nodes, so this paper take the clustering
routing protocol as the main research object.
Aiming at the shortage of the traditional clustering routing algorithm, non-uniform
region based clustering routing weighting algorithm (NRBCW) for WSN is proposed. This
algorithm is mainly improved form three aspects: on one hand, this paper proposes a new
network model, the non-uniformly distributed network is divided into different region using
the same interval concentric rings and the same angle sectors, according to the number of
nodes in different region to calculate the optimal number of head nodes in each region; on the
other hand, in the head nodes selection stage, introducing the residual energy of nodes and
competitive radius parameters, so that the head nodes are more reasonable and evenly
distributed each round; on the other hand, in the relay head nodes selection stage, considering
not only the distance between head nodes and the residual energy of head nodes, taking the
load of head nodes have been forwarded, selecting the optimal relay head node by a weight
value.
Finally, using MATLAB simulation tool to compare and analyze the NRBCW algorithm
and classical routing protocol LEACH algorithm.
Keywords: wireless sensor networks clustering routing region based model
weighting effective lifetime
万方数据
