TY - GEN
T1 - A grid-based energy efficient routing protocol in Wireless Sensor Networks
AU - Chen, Cunxiang
AU - He, Zunwen
AU - Sun, Hongmei
AU - Kuang, Jingming
AU - Bai, De Meng
AU - Yang, Chenxi
PY - 2013
Y1 - 2013
N2 - Due to limited energy of Wireless Sensor Networks (WSNs), routing plays a crucial role in improving energy efficiency. The low-energy adaptive clustering hierarchy (LEACH) protocol is a classical solution to cut down energy cost, but it neglects residual energy of sensor nodes and long-range communication which causes low network coverage and high energy consumption. To avoid these shortcomings, we put forward a grid-based energy efficient routing protocol (GEERP) which focuses on three improvements: energy consumption, energy efficiency and network coverage. In GEERP, WSNs are divided into two levels: one is called secondary level grid (SG), which is formed by one cluster head (CH) and several cluster members (CMs); the other one is premier level grid (PG), which consists of nine adjacent SGs. In each round, CH is selected based on residual energy level of sensor nodes in a cluster. Then fused data of CH will be transmitted to sink node through multi-hop routing which is determined by minimum weight. Simulation results demonstrate that GEERP can not only balance network energy consumption of network but also can highly improve the network coverage.
AB - Due to limited energy of Wireless Sensor Networks (WSNs), routing plays a crucial role in improving energy efficiency. The low-energy adaptive clustering hierarchy (LEACH) protocol is a classical solution to cut down energy cost, but it neglects residual energy of sensor nodes and long-range communication which causes low network coverage and high energy consumption. To avoid these shortcomings, we put forward a grid-based energy efficient routing protocol (GEERP) which focuses on three improvements: energy consumption, energy efficiency and network coverage. In GEERP, WSNs are divided into two levels: one is called secondary level grid (SG), which is formed by one cluster head (CH) and several cluster members (CMs); the other one is premier level grid (PG), which consists of nine adjacent SGs. In each round, CH is selected based on residual energy level of sensor nodes in a cluster. Then fused data of CH will be transmitted to sink node through multi-hop routing which is determined by minimum weight. Simulation results demonstrate that GEERP can not only balance network energy consumption of network but also can highly improve the network coverage.
KW - coverage
KW - energy efficiency
KW - grid
KW - multi-hop
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84893785230&partnerID=8YFLogxK
U2 - 10.1109/ISWPC.2013.6707444
DO - 10.1109/ISWPC.2013.6707444
M3 - Conference contribution
AN - SCOPUS:84893785230
SN - 9781479921843
T3 - 2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013
BT - 2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013
T2 - 2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013
Y2 - 20 November 2013 through 22 November 2013
ER -