Energy Efficient Error Rate Optimization Transmission in Wireless Sensor Network
Abstract: Wireless Sensor
Network is a collection of independent nodes and create a network for monitoring
purposes in various scenarios like military operation, environmental operation
etc. WSN network size is increasing very rapidly these days, due to large
network size energy consumption is also increased and it has small battery,
lifetime of network decreases due to early death of nodes and it impact the
overall system performance. Clustering is a technique for enhance the network
lifetime in WSN. Here in this paper we propose a new multi-objective adaptive
swarm optimization (MASO) technique for clustering and computes the maximum
number of clusters, which is best suited for the network. Each cluster has
cluster head and cluster members and performed the task of local information
extraction. Cluster head gathers all the extracted information from member
nodes and send it to the base station, where base station performed global
information extraction from all the cluster head nodes and generate some useful
result. In MASO technique, object is used to find the best global position for
the node and compare with existing position value. If new value is better than
the old value, than node moves to a new position and object update their table
for this new position. We are considering error probability in transmission of
data packet in one hop communication. Here obtained the results are compared
with other research in terms of overall network lifetime and effect on network
lifetime when the size of the network is changed. We have fine tuned the node’s
decay rate and throughput of the network.
Author: Sharada K. A,
Siddaraju
Journal Code: jptkomputergg160141
