Optimized Multi-Objective Routing for Wireless Communication With Load Balancing

Abstract

The rapid advancements in the wireless communication networks have increased the popularity of portable or mobile devices and the network framed with these mobile devices. These mobile networks framed using the volunteering portable devices are decentralized and have dynamic topologies experiencing sudden changes in the network structure. The main reason causing the topology changes are the limited energy availability of the device and their mobility. Improper trafficking of the tasks and improper selection of the portable devices causes maximum energy consumption resulting in the link failures and changes in the topology of the network. So the paper puts forward the hybridized optimization technique to handle the multi-objective problem faced by these decentralized networks. The proposed method is validated using the network simulator-2 to evince throughput, energy consumption and the network longevity achieved by the proposed method.

Variable-Length Multiobjective Social Class Optimization for Trust-Aware Data Gathering in Wireless Sensor Networks

“…The time indicates the longest mobile sink in terms of collecting data from its associated sensors, as described in Equation (7).…”

“…It involves various determinations, namely, the number of mobile sinks [4]; their trajectories, which consist of a sequence of rendezvous points; and selecting [5] the depth or number of hops that are required for collecting the data [6]. The above-stated challenges have encouraged development of a simulator to optimize the performance of wireless sensor networks' data gathering [7]. This study aimed to compute an optimal decision support algorithm by considering cost, energy consumption, traveling time, and trust [8].…”