Node Deployment Of Grassland Wireless Sensor Network Based On Bacterial Foraging Optimization Algorithm

Grassland is not only an important part of ecological system, but also the base ofgrass stockbreeding and herdsmen’s stable life. As the deterioration of ecologicalenvironment and the damage from the plunder of resources development, thedesertification of grassland resource In order to reasonably develop and utilize thegrassland resources, grasping the grassland environmental conditions timely andaccurately and finding out the growth rules of grassland are required. The wirelesssensor network has several merits, such as easy deployment, real-time monitoring,and ad-hoc networks，etc. On the basis of building the grassland monitoring network,a node coverage strategy of wireless sensor based on bacteria foraging optimizationalgorithm is proposed. The simulation results show that this strategy can effectivelyimprove the node coverage rate of wireless sensor network. The paper’s main workis as follows.(i) The involved wireless sensor technology and bacterial foraging algorithm areintroduced. The composition, development and application of wireless sensor networktechnology, and the establishment of grassland resource monitoring network aredecribed briefly. Besides, the origin, development, algorithm process and applicationsof bacterial foraging algorithm are discussed. The three main operations of thisalgorithm and the impact of parameters setting on algorithm performance areanalyzed especially.(ii) A WSNs deployment strategy based on the bacterial foraging algorithm ispresented. The hit-wall strategy is introduced into the tendency operation of thebacterial foraging algorithm, which is used for initialing the position of bacteria. Eachbacteria represents a sensor and multiple bacteria colony represents a sensordeployment scheme. The network coverage is the objective function in thisalgorithm, A bacteria is used as an unit to do tendency operation, and the bacterialcolony as an unit to perform replication and migration operation. The betterdeployment scheme is chosen by the fitness value of bacterial colony. The impact of parameters setting on algorighm performance are analyzed by simulation experiments.The results show that the bacterial foraging optimization algorithm can effectivelyimprove the coverage rate of wireless sensor network node.(iii) On the basis of the WSNs deployment strategy based on bacterial foragingalgorithm, the dynamic WSNs node deployment strategy is put forward Using thebacterial foraging optimization algorithm with dynamic population to optimize ahybrid network node coverage. The algorithm can dynamically change the number ofpopulation, and some bacteria have the fixed position and do not perform thechemotaxis and hit-wall operation, and the simulation experimental results show thatthe bacterial foraging algorithm could effectively to cover and optimize the the initialrandom deployment of hybrid network, and improved the sensor node coverage rate.