P.G Student, Department Of Computer Science & Engineering, SCSVMV University, Enathur.
Assistant Professor, Department Of Computer Science & Engineering, SCSVMV University, Enathur.
Online published on 13 August, 2014.
It explores a link-aware clustering mechanism (LCM) to support energy efficient routing in WSNs. The main goal of the LCM is to establish a persistent and reliable routing path by determining proper nodes to become cluster-heads and gateways. In the LCM, cluster-head and gateway candidates use the node status (e.g., residual energy) and link condition (e.g., quality) to determine a clustering metric, called the predicted transmission count and additionally the bandwidth is also considered. The predicted transmission count is defined as the number of transmissions that cluster-head and gateway candidates conduct. The cluster head or gateway candidate having the highest priority is elected as a cluster-head or a gateway, respectively. The main contribution of this project is that it proposes a link aware clustering mechanism, and the proposed mechanism can support energy-efficient routing. Simulation results confirm that the LCM can achieve a high packet delivery ratio, extend the network lifetime, and reduce transmission latency.
Service-oriented design, Business Intelligence, Performance Management Systems, And Quality Management in SOA