Optimal Selection of the Cluster Head in Wireless Sensor Networks by Combining the Multiobjective Genetic Algorithm and the Gravitational Search Algorithm

Table 1

Comparison of the clustering methods based on swarm intelligence.

Protocol	Location	Clustering algorithm	Approach	Cluster head round	Routing the CH to the BS	Mobility	Node establishment	BS location
GABEEC	Unaware	Centralized	GA	All rounds	Direct	Stationary	Random	Outside the area
GCA	Unaware	Distributed	GA	All rounds	Direct	Stationary	Random	Center of the area
GAECH	Unaware	Centralized	GA	All rounds	Direct	Stationary	Random	Outside, corner, and center of the area
hACO	Unaware	Centralized	ACO	All rounds	Direct	Mobile	Random	Outside the area
ANTCLUST	Unaware	Centralized	ACO	All rounds	Direct	Stationary	Random	Outside the area
PSO	Unaware	Centralized	PSO	All rounds	Direct	Stationary	Random	Inside the area
PSO-SD	Unaware	Centralized	PSO	All rounds	Multihop	Stationary	Random	Inside the area
HAS-PSO	Unaware	Centralized	PSO	All rounds	Direct	Semistationary	Random	Inside the area
WSNCABC	Unaware	Centralized	ABC	All rounds	Direct	Stationary	Random	Center of the area
ABC-C	Unaware	Centralized	ABC	All rounds	Direct	Stationary	Random	Center of the area
Bee-Sensor-C	Unaware	Distributed	ABC	All rounds	Multi-hop	Mobile	Random	Outside the area
EABCA	Unaware	Centralized	ABC	All rounds	Multi-hop	Stationary	Random	Center of the area