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Chapter 35
DOI: 10.4018/978-1-5225-1759-7.ch035
ABSTRACT
Now a days Wireless Sensor Networks (WSNs) have grown rapidly due to advancement of information
technology. Sensor nodes are deployed over the feld for collecting useful information. Sensor nodes have
limited battery power and bandwidth. As a result it is critical for planning energy efcient protocols in
WSNs. It is necessary to transfer and gather information in optimized way to reduce the energy dissipa-
tion. Ant Colony Optimization (ACO) is already proved to be better technique to optimize the network
routing protocols in WSNs. Ant based routing can have signifcant role to extend the network life time
and balance energy consumption in WSNs. In this chapter wireless sensor network architecture, routing
factors of wireless sensor networks, computational intelligence technique, ant colony algorithm and ant
colony based balanced energy consumption approaches in wireless sensor network have been discussed.
INTRODUCTION
The Wireless Sensor Network (WSN) consists of inexpensive, little-power as well as tiny size motes. In
WSN environment, all motes work collectively to feel the surroundings, accomplish easy data process-
ing as well as exchange wirelessly over a small range (Zhao et al., 2004).Sensor nodes can link straight
to the sink to design a local area networks model in WSNs. The sensor node consists of transceiver,
battery, sensors and the processor. The processor converts the analog sensed information in to digital
format (Yick et al., 2008). The sensor can perform simple calculations and communicate locally over a
small area. Wireless sensor nodes transfer data within short distances. WSN depends on IEEE 802.15.4
standard. WSNs are extensively operated in the surroundings monitoring like disasters area, battleground,
Balanced Energy Consumption
Approach Based on Ant Colony
in Wireless Sensor Networks
Sahabul Alam
West Bengal University of Technology, India
Debashis De
West Bengal University of Technology, India