DONG Guo-yong, PENG Li, WU Fan, et al. Uneven clustering routing algorithm for WSNs based on weight and cost function[J]. 2015, 34(3): 134-136+143. DOI: 10.13873/j.1000-9787(2015)03-0134-03.
Aiming at‘hot spot’problem in wireless sensor networks( WSNs)
caused by multi-hop communication
an improved uneven clustering routing algorithm based on weight and cost functions( WCF-UC) is proposed. The cluster head is selected according to weight
and constructs multiple clusters with size according to the distance information. This algorithm
through considering factors such as node residual energy and node density to guarantee the optimal choice of cluster head
link structure is used to replace point to point communication in clusters
hence energy consumption in cluster is effectively balanced. Meanwhile adopt multi-hop routing algorithm
uses a cost function
considering residual energy of cluster head
cluster node number
and position information to determine the optimal energy path in order to complete information transmission and balance communication energy consumption among clusters. Simulation results show that compared with LEACH
HEED and EEUC
WCF-UC algorithm has better performance of balancing node energy consumption and prolong network life cycle.