An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem

Details An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem

2011-04-03

arxiv.org/abs/1104.0355v1

Computer Science

Networking and Internet Architecture

16 pages, 18 figures, Journal

Scientific paper

Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads. In this paper, we propose an efficient method based on genetic algorithms (GAs) to solve a sensor network optimization problem. Long communication distances between sensors and a sink in a sensor network can greatly drain the energy of sensors and reduce the lifetime of a network. By clustering a sensor network into a number of independent clusters using a GA, we can greatly minimize the total communication distance, thus prolonging the network lifetime. Simulation results show that our algorithm can quickly find a good solution.

Affiliated with

Also associated with

No associations

Rating

An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-131747