TY - GEN
T1 - A mobile-sink based energy-efficient clustering algorithm for wireless sensor networks
AU - Wang, Jin
AU - Yin, Yue
AU - Kim, Jeong Uk
AU - Lee, Sungyoung
AU - Lai, Chin Feng
PY - 2012
Y1 - 2012
N2 - Wireless sensor networks with one static sink often suffer from energy hole problem, which means energy consumption of certain sensors near the sink or on critical paths is much faster than other nodes. Consequently, network partition and isolated nodes are caused. To solve the problem, we propose a Mobile-sink based Energy-efficient Clustering Algorithm (MECA) for wireless sensor networks. MECA aims at minimizing and balancing energy consumption for all sensor nodes. We divide the network into several equal clusters and the intra-cluster routing exploits multi-hop routing to save energy. We study the effect of both mobility and multiplicity of the sink on total energy consumption. Simulation results show that our proposed routing algorithm consumes much less energy than traditional routing algorithms like LEACH.
AB - Wireless sensor networks with one static sink often suffer from energy hole problem, which means energy consumption of certain sensors near the sink or on critical paths is much faster than other nodes. Consequently, network partition and isolated nodes are caused. To solve the problem, we propose a Mobile-sink based Energy-efficient Clustering Algorithm (MECA) for wireless sensor networks. MECA aims at minimizing and balancing energy consumption for all sensor nodes. We divide the network into several equal clusters and the intra-cluster routing exploits multi-hop routing to save energy. We study the effect of both mobility and multiplicity of the sink on total energy consumption. Simulation results show that our proposed routing algorithm consumes much less energy than traditional routing algorithms like LEACH.
UR - https://www.scopus.com/pages/publications/84872321812
UR - https://www.scopus.com/pages/publications/84872321812#tab=citedBy
U2 - 10.1109/CIT.2012.142
DO - 10.1109/CIT.2012.142
M3 - Conference contribution
AN - SCOPUS:84872321812
SN - 9780769548586
T3 - Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
SP - 678
EP - 683
BT - Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
T2 - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012
Y2 - 27 October 2012 through 29 October 2012
ER -