In this paper, we have proposed different deployment strategies and have applied area-wise clustering along with
modified Ant Colony Optimization to minimize energy consumption.
Previously some deployment strategies were used to enhance the lifetime of WSN. In our research, we have
applied some novel deployment strategies like random, spiral, and S-pattern along with a novel area-wise clustering process
to get better results than the existing literature as shown in Table 4.
The main objective of the research article is to enhance the lifetime of Wireless Sensor Network with the help of
different deployment strategies like random, spiral, and S-pattern). A novel clustering process (i.e., area-wise clustering),
and a Meta-heuristic algorithm (modified ACO) are applied.
We have applied different methods for deployment strategies (random, spiral, and S-pattern). A novel clustering
process (i.e., area-wise clustering), and a Meta-heuristic algorithm (modified ACO) are applied to get the desired results.
Random Deployment: 11.15 days to 15.09 days.
Spiral Deployment: 11.25 days to 15.23 days.
S-Pattern Deployment: 11.33 days to 15.33 days.
In this paper, efficient Wireless Sensor Networks have been configured considering energy minimization as the
prime concern. To minimize the energy consumption a modified ACO algorithm has been proposed. In our work, the
minimization of energy consumption leads to an increment of the lifetime of WSN to a significant margin theoretically. The
obtained result has been compared with the existing literature and it has been found that the proposed algorithm produced a
better result than the existing literature.