TY - GEN
T1 - Parallel Charged System Search Algorithm for Energy Management in Wireless Sensor Network
AU - Jiang, Tong Bang
AU - Chu, Shu Chuan
AU - Pan, Jeng Shyang
PY - 2020/10/23
Y1 - 2020/10/23
N2 - With the rapid development of information technology, wireless sensor network(WSN) gradually permeates all walks of life. However, WSN is always out of work because of too much energy consumption on certain sensor nodes. This paper presents a new protocol based on parallel charged system search(PCSS) algorithm to balance energy consumption during WSN transmission. Firstly, a novel optimization algorithm named PCSS is presented based on two communication strategies with different conditions. First experiments on 10 benchmark functions in different dimensions demonstrate that the PCSS shows an excellent ability of convergency compared to CSS and PSO and the advantage of PCSS in quickly finding optimum is more obvious with the increasing of dimension. After that, a new clustering model based on PCSS(PCSS-C) is introduced to update cluster heads dynamically according to a designed fitness function, another experimental results illustrate that the proposed protocol is superior to low-energy adaptive clustering hierarchy, LEACH-centralized, and hybrid energy-efficient distributed clustering.
AB - With the rapid development of information technology, wireless sensor network(WSN) gradually permeates all walks of life. However, WSN is always out of work because of too much energy consumption on certain sensor nodes. This paper presents a new protocol based on parallel charged system search(PCSS) algorithm to balance energy consumption during WSN transmission. Firstly, a novel optimization algorithm named PCSS is presented based on two communication strategies with different conditions. First experiments on 10 benchmark functions in different dimensions demonstrate that the PCSS shows an excellent ability of convergency compared to CSS and PSO and the advantage of PCSS in quickly finding optimum is more obvious with the increasing of dimension. After that, a new clustering model based on PCSS(PCSS-C) is introduced to update cluster heads dynamically according to a designed fitness function, another experimental results illustrate that the proposed protocol is superior to low-energy adaptive clustering hierarchy, LEACH-centralized, and hybrid energy-efficient distributed clustering.
KW - cluster heads
KW - energy consumption
KW - parallel charged system search
KW - wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85098526281&partnerID=8YFLogxK
U2 - 10.1109/IAI50351.2020.9262194
DO - 10.1109/IAI50351.2020.9262194
M3 - Conference contribution
AN - SCOPUS:85098526281
T3 - 2nd International Conference on Industrial Artificial Intelligence, IAI 2020
BT - 2nd International Conference on Industrial Artificial Intelligence, IAI 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Industrial Artificial Intelligence, IAI 2020
Y2 - 23 October 2020 through 25 October 2020
ER -