Abstract:
Mobile data collection improves energy efficiency and load distribution in wireless sensor networks (WSNs). Complex networks make path design difficult. An objective-variable tour planning (OVTP) strategy for mobile data gathering in partitioned WSNs addresses the network environment issue.
Our study of disjoint networks with connectivity requirement serves delay-hash applications and energy-efficient scenarios, unlike connected network studies. To start a short tour, we design a converging-aware location selection mechanism that macroscopically converges rendezvous points (RPs).
We then develop a delay-aware path formation mechanism that creates a short tour connecting all segments using a new convex hull algorithm and genetic operation. An energy-aware path extension mechanism selects extra RPs based on metrics to reduce data transmission energy depletion.
The new strategy improves path length, energy depletion, and data collection ratio, as shown by extensive simulations.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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