In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …

Wireless-sensor networks (WSNs) are networks of autonomous nodes used for monitoring
an environment. Developers of WSNs face challenges that arise from communication link …

This paper introduces the Backtracking Search Optimization Algorithm (BSA), a new
evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs …

A mobile wireless sensor network (M-WSN) consists of sensors equipped with locomotive
platforms to allow movement after initial deployment. M-WSNs are useful for environments …

Optimization based pattern discovery has emerged as an important field in knowledge
discovery and data mining (KDD), and has been used to enhance the efficiency and …

One of the main design aspects of Wireless Sensor Networks (WSNs) is the deployment
strategy of the sensors. In general, WSN deployment methods fall under two categories …

Particle swarm optimization (PSO)-based effective clustering in wireless sensor networks is
proposed. In the existing optimized energy efficient routing protocol (OEERP), during cluster …

Rapid change and increasing software criticality drive successful development and
acquisition organizations to balance the agility and discipline of their key processes. The …

A series of work for distributed dynamic load identification is investigated in this paper
considering unknown-but-bounded uncertainties in the aircraft structure. To facilitate the …

As the usage and development of wireless sensor networks are increasing, the problems
related to these networks are being realized. Dynamic deployment is one of the main topics …