Improving Energy Efficiency in Internet of Things using Artificial Bee Colony Algorithm

Abstract

Background: With the advent of IoT, the deployment of batteries with a limited lifetime in remote areas is a major concern. In certain conditions, the network lifetime gets restricted due to limited battery constraints. Subsequently, the collaborative approaches for key facilities help to reduce the constraint demands of the current security protocols. Aim: This work covers and combines a wide range of concepts linked by IoT based on security and energy efficiency. Specifically, this study examines the WSN energy efficiency problem in IoT and security for the management of threats in IoT through collaborative approaches and finally outlines the future. The concept of energy-efficient key protocols which clearly cover heterogeneous IoT communications among peers with different resources has been developed. Because of the low capacity of sensor nodes, energy efficiency in WSNs has been an important concern. Methods: Hence, in this paper, we present an algorithm for Artificial Bee Colony (ABC) which reviews security and energy consumption to discuss their constraints in the IoT scenarios. Results: The results of a detailed experimental assessment are analyzed in terms of communication cost, energy consumption and security, which prove the relevance of a proposed ABC approach and a key establishment. Conclusion: The validation of DTLS-ABC consists of designing an inter-node cooperation trust model for the creation of a trusted community of elements that are mutually supportive. Initial attempts to design the key methods for management are appropriate individual IoT devices. This gives the system designers, an option that considers the question of scalability.

Energy capable protocol for heterogeneous blue brain network

“…In Equation 15"µS" denotes the energy expended for the formation of new clusters and the replacing of cluster heads. µS = {µnTr µTr + µnRcµRc(cs − 1)}CS (15) where CS= cs signifies the size of a cluster and µTr the amount of energy used to send eight bits of information. The energy required to receive eight bits of information is represented by the symbol µRc.…”

“…As a result, numerous researchers have concentrated on improving the functionality of these Blue Brain nodes by reducing their energy consumption. Furthermore, a number of methods have been developed to lower energy usage and communication latency [14,15].…”

Energy-Efficient Static Data Collector-based Scheme in Smart Cities

“…Due to equipping the sensor nodes with limited energy resources, the energy efficiency is considered as one the most important challenges in WSNs [6,7]. There are several schemes which attempt to minimize the energy consumption of nodes and maximize the network lifetime [8][9][10][11].…”