A noble approach of ACO algorithm for WSN

In energy compelled wireless sensor networks (WSNs), the means by which to perform effectual routing is among the main focuses. A noble approach of ant colony optimization (ACO) algorithm for discovering the optimum route in the WSNs for data transmission is proposed here for enhancement and optimization considering the issue of path selection to reach the nodes. Using the proposed ACO algorithm and considering both the node mobility and the existing energy of the nodes, an optimum route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified utilizing MATLAB and the simulation results demonstrate that new ant colony optimization based algorithm can achieve better performance and faster convergence to determine the best cost route

A novel bio-inspired routing algorithm based on ACO for WSNs

The methods to achieve efficient routing in energy constrained wireless sensor networks (WSNs) is a fundamental issue in networking research. A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. The issue of path selection to reach the nodes and vital correspondence parameters, for example, the versatility of nodes, their constrained vitality, the node residual energy and route length are considered since the communications parameters and imperatives must be taken into account by the imperative systems that mediate in the correspondence procedure, and the focal points of the subterranean insect framework have been utilized furthermore. Utilizing the novel technique and considering both the node mobility and the existing energy of the nodes, an optimal route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission

Bio Inspired Routing Algorithm and Efficient Communications within IoT

International audienc

Bio Inspired Routing Algorithm and Efficient Communications within IoT

IoT does not stop integrating and connecting more complex objects with different architectures, resources and constraints. This is why the conventional communication architectures and protocols designed for the existing wireless networks become ineffective in the context of IoT. Indeed, IoT communications parameters and constraints must be taken into account by all the important mechanisms that intervene in the communication process, such as routing. This article surveys a number of proposed routing algorithms for efficient communications within wireless networks and IoT. Based on the limitations of these works, a novel routing algorithm, called EICAntS (Efficient IoT Communications based on Ant System), is proposed to improve the route selection mechanism by exploiting the advantages of an ant colony system. The evaluation results of EICAntS recorded an improvement in delay, throughput, lifetime and conservation of energy