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.
Background:
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.
Objective:
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.
Method:
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.
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.
Conclusion:
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.
Energy Minimization in Wireless Sensor Networks Using Multi Hop Transmission
