TITLE:
MED-BS Clustering Algorithm for the Small-Scale Wireless Sensor Networks
AUTHORS:
Awatef Ben Fradj Guiloufi, Nejah Nasri, Mohamed Alamine Ben Farah, Abdennaceur Kachouri
KEYWORDS:
Wireless Sensor Networks (WSNs); Clustering; Clusterhead
JOURNAL NAME:
Wireless Sensor Network,
Vol.5 No.4,
April
30,
2013
ABSTRACT: With the spectacular progress of technology,
we have witnessed the appearance of wireless sensor networks (WSNs) in several fields.
In a hospital for example, each patient will be provided with one or more wireless
sensors that gather his physiological data and send them towards a base station
to treat them on behalf of the clinicians. The WSNs can be integrated on a building
surface to supervise the state of the structure at the time of a destroying event
such as an earthquake or an explosion. In this paper, we presented a Mobility-Energy-Degree-Distance
to the Base Station (MED-BS) Clustering Algorithm for the small-scale wireless Sensor
Networks. A node with lower mobility, higher residual energy, higher degree and
closer to the base station is more likely elected as a clusterhead. The members
of each cluster communicate directly with their ClusterHeads (CHs) and each ClusterHead
aggregates the received messages and transmits them directly to the base station.
The principal goal of our algorithm is to reduce the energy consumption and to balance
the energy load among all nodes. In order to ensure the reliability of MED-BS, we
compared it with the LEACH (Low Energy Adaptive Clustering Hierarchy) clustering
algorithm. Simulation results prove that MED-BS improves the energy consumption
efficiency and constructs a stable structure which can support new sensors without
returning to the clusters reconstruction phase.