Efficient Node Placement for Congestion Control in Wireless Sensor Networks

Sergiou, Charalambos; Vassiliou, Vasos

doi:10.5772/48201

Cited by 2 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Commonly, deterministic or controlled node placement dictates the type of nodes, the environment that nodes will be placed, and the application. Thus, in Sensor Indoor Surveillance Systems or Building Monitoring application nodes must be placed manually [ 13 ]. Under semi- deterministic placement, on the other hand, individual nodes are positioned in a nondeterministic way on the grid (e.g., random) which covers the areas nodes must be spread.…”

Section: Node Placement In Wireless Sensor Networkmentioning

confidence: 99%

Genetic Algorithm Application in Optimization of Wireless Sensor Networks

Norouzi

Zaim

2014

The Scientific World Journal

View full text Add to dashboard Cite

There are several applications known for wireless sensor networks (WSN), and such variety demands improvement of the currently available protocols and the specific parameters. Some notable parameters are lifetime of network and energy consumption for routing which play key role in every application. Genetic algorithm is one of the nonlinear optimization methods and relatively better option thanks to its efficiency for large scale applications and that the final formula can be modified by operators. The present survey tries to exert a comprehensive improvement in all operational stages of a WSN including node placement, network coverage, clustering, and data aggregation and achieve an ideal set of parameters of routing and application based WSN. Using genetic algorithm and based on the results of simulations in NS, a specific fitness function was achieved, optimized, and customized for all the operational stages of WSNs.

show abstract

Section: Node Placement In Wireless Sensor Networkmentioning

confidence: 99%