TY - GEN
T1 - Optimal Sink-Node Placement and Routing for an Energy Efficient Two-Tier Wireless Sensor Network
AU - Mathaba, Tebello N.D.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/13
Y1 - 2018/9/13
N2 - Wireless sensor networks (WSNs) are increasingly proving to be flexible and cheap alternative monitoring systems in a variety of application. Their use to enhance the provision of electricity enables the implementation of smart grids, where energy flows are closely combined with the provision of other energy-related information. The limited battery lifetime of the sensor nodes remains a prominent research challenge and limiting factor in WSN deployment. This paper proposes a joint constrained optimal sink placement and energy-efficient routing with the aim of extending the WSN's lifetime. The proposed solution is a particle swarm optimization (PSO)-based algorithm that can be used for planning the deployment of WSNs in smart grids. The proposed algorithm involves a novel model of encoding the allowable sink locations into the PSO's particle-space. The results show that the proposed algorithm is able to place the sink within the constrained areas while also improving the WSN's lifetime.
AB - Wireless sensor networks (WSNs) are increasingly proving to be flexible and cheap alternative monitoring systems in a variety of application. Their use to enhance the provision of electricity enables the implementation of smart grids, where energy flows are closely combined with the provision of other energy-related information. The limited battery lifetime of the sensor nodes remains a prominent research challenge and limiting factor in WSN deployment. This paper proposes a joint constrained optimal sink placement and energy-efficient routing with the aim of extending the WSN's lifetime. The proposed solution is a particle swarm optimization (PSO)-based algorithm that can be used for planning the deployment of WSNs in smart grids. The proposed algorithm involves a novel model of encoding the allowable sink locations into the PSO's particle-space. The results show that the proposed algorithm is able to place the sink within the constrained areas while also improving the WSN's lifetime.
KW - energy efficient routing
KW - optimal sink placement
KW - smart grid
KW - warticle swarm optimization
KW - wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85054673252&partnerID=8YFLogxK
U2 - 10.1109/ICABCD.2018.8465470
DO - 10.1109/ICABCD.2018.8465470
M3 - Conference contribution
AN - SCOPUS:85054673252
SN - 9781538630600
T3 - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
BT - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
Y2 - 6 August 2018 through 7 August 2018
ER -