Abstract
Background: Background of this paper has taken place in mainly heterogeneous network in which three types of nodes are present like normal node, advance node and super node with different amount of energy. The energy of super node is greater than that of advance and normal nodes and the energy of advance nodes are also greater than that of normal nodes in the designed network. The optimization techniques have to be studied from the swarm intelligence based on the different aspects of routing.
Objective: The objective of this paper is to propose a new heterogeneous protocol with the help of hybrid meta-heuristic technique. In this technique, the shortest route has been selected and forwarded the data to the sink in a minimal time span to save the energy and make the network more stable.
Methods: To evaluate the technique, a new hybrid technique has been created, where the data transmission is implemented from the beginning. This technique contains the route process of the algorithm which was made available through a hybrid meta-heuristic technique.
Results: Simulation results show that the hybrid meta-heuristic technique has high throughput with less number of dead nodes with existing methods and also show that the efficiency and stability of new proposed protocol.
Conclusion: The conclusion to this paper is a novel, energy-efficient technique applied for randomly deployed sensor nodes over the wireless sensor network and enhancement has been done in stability and throughput of a new proposed algorithm in case of static as well as moving nodes.
Keywords: 3 Wireless sensor network, heterogeneity, multilevel stable, and energy efficient clustering protocol, TABU search, MATLAB, network stability, throughput, average remaining energy.
Graphical Abstract
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