No abstract

No abstract

No abstract

No abstract

No abstract

No abstract

This study aims to explore the impact of heterogeneity on a hybrid algorithm called Multi Adaptive Filter Algorithm by constructing series of experiments. Here, the simulations were made between 'Total Energy Spent' and 'Number of Sources' considering temporal correlation. The results were drawn from the trace information generated using 'Monte Carlo' simulation methods. After keen analysis, the results show that different levels of heterogeneity are best suited for correlated event detections. Moreover, based on the conclusions drawn, it can be safely inferred that n-level heterogeneity reduces the total energy spent close to 60%. Further, cost analysis recommends that adding progressive nodes preserves the cost factor in the bracket of 230-280$/Joule. The novel approach can immensely help the future solution providers to overcome the battery limitations of wireless sensor networks. This study provides insights into designing heterogeneous wireless sensor networks and aims at providing the cost-benefit analysis that can be used in selecting the critical parameters of the network.

No abstract