Process of 3D wireless decentralized sensor deployment using parsing crossover scheme

• Main Authors: Albert H.R. Ko, François Gagnon
• Format: Article
• Language: English
• Published: Emerald Publishing 2015-07-01
• Series: Applied Computing and Informatics
• Subjects: Wireless sensor networks; Genetic algorithm; Sensor placement; Multi-agent system; Crossover
• Online Access: http://www.sciencedirect.com/science/article/pii/S2210832714000374

A Wireless Sensor Networks (WSN) usually consists of numerous wireless devices deployed in a region of interest, each able to collect and process environmental information and communicate with neighboring devices. It can thus be regarded as a Multi-Agent System for territorial security, where individual agents cooperate with each other to avoid duplication of effort and to exploit other agent’s capacities. The problem of sensor deployment becomes non-trivial when we consider environmental factors, such as terrain elevations. Due to the fact that all sensors are homogeneous, the chromosomes that encode sensor positions are actually interchangeable, and conventional crossover schemes such as uniform crossover would cause some redundancy as well as over-concentration in certain specific geographical area. We propose a Parsing Crossover Scheme that intends to reduce redundancy and ease geographical concentration pattern in an effort to facilitate the search. The proposed parsing crossover method demonstrates better performances than those of uniform crossover under different terrain irregularities.