Energy-Driven Adaptive Clustering Hierarchy (EDACH) for Wireless Sensor Networks
Wireless sensor network consists of small battery powered sensors. Therefore, energy consumption is an important issue and several schemes have been proposed to improve the lifetime of the network. In this paper we propose a new approach called energy-driven adaptive clustering hierarchy (EDACH), which evenly distributes the energy dissipation among the sensor nodes to maximize the network lifetime. This is achieved by using proxy node replacing the cluster-head of low battery power and forming more clusters in the region relatively far from the base station. Comparison with the existing schemes such as LEACH (Low-Energy Adaptive Clustering Hierarchy) and PEACH (Proxy-Enabled Adaptive Clustering Hierarchy) reveals that the proposed EDACH approach significantly improves the network lifetime.
Lifetime Optimization of a Multiple Sink Wireless Sensor Network through Energy Balancing
The wireless sensor network consists of small limited energy sensors which are connected to one or more sinks. The maximum energy consumption takes place in communicating the data from the nodes to the sink. Multiple sink WSN has an edge over the single sink WSN where very less energy is utilized in sending the data to the sink, as the number of hops is reduced. If the energy consumed by a node is balanced between the other nodes, the lifetime of the network is considerably increased. The network lifetime optimization is achieved by restructuring the network by modifying the neighbor nodes of a sink. Only those nodes are connected to a sink which makes the total energy of the sink less than the threshold. This energy balancing through network restructuring optimizes the network lifetime. This paper depicts this fact through simulations done in MATLAB.
An approach to increase the wireless sensor network lifetime
A wireless sensor network consist of small devices, called sensor nodes that are equipped with sensors to monitor the physical and environmental conditions such as pressure, temperature, humidity, motion, speed etc. The nodes in the wireless sensor network were battery powered, so one of the important issues in wireless sensor network is the inherent limited battery power within network sensor nodes. Minimizing energy dissipation and maximizing network lifetime are important issues in the design of sensor networks so if the power exhausted node would quit from the network, and it overall affect the network lifetime. Minimizing energy dissipation and maximizing network lifetime are important issues in the design of applications and protocols for sensor networks. In this paper there is improvement of lifetime of wireless sensor network in terms increasing alive nodes in network by using a different approach to select cluster head. The cluster head selection is based on the basis of maximum residual energy and minimum distance and chooses a optimal pat between the cluster heads to transmit to the base station.
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