16-09-2016, 10:46 AM
[attachment=71072]
Introduction
Wireless Sensor Networks (WSN) consists of several sensor enable nodes which are distributed in an environment and use batteries as energy resource.
The large number of sensor nodes are randomly dispersed over the interested area, picking up the signals by all kinds of sensors and the data acquiring unit, processing and transmitting them to a node which is called sink node.
Sensor nodes could be deployed in home, military, science, and industry applications such as transportation, health care, disaster recovery, warfare, security, industrial and building automation, and even space exploration.
The sink node requests sensory information by sending a query throughout the sensor field. This query is received at sensor nodes (or sources). When the node finds data matching the query, the data (or response) is routed back to the sink.
For example, if the sensors nodes be in a tree like structure, the base station roles as the root of the tree and each node will have a parent [4,5]. Therefore, the data items can be transmitted hop by hop from the leaf nodes to the root.
Key Challenges.
As the sensor nodes are small and battery enable devices, they have limited energy which should be used precisely.
Thus, the scarce sensor resources (in particular, the battery power) are easily over consumed.
Thus, the key challenge in such phenomena monitoring is conserving the sensor energy, so as to maximize their lifetime.
Proposed Technique
The proposed approach uses the advantages of cluster based and tree based approaches.
In this approach, the whole network consists of some clusters with the same size. Each node is related to a routing sub tree and each sub tree overwhelms a cluster and the root node of each sub tree is the head node of the related cluster.
The energy consumption in wireless transmissions is equal to the square of distance between two nodes in communication
Introduction
Wireless Sensor Networks (WSN) consists of several sensor enable nodes which are distributed in an environment and use batteries as energy resource.
The large number of sensor nodes are randomly dispersed over the interested area, picking up the signals by all kinds of sensors and the data acquiring unit, processing and transmitting them to a node which is called sink node.
Sensor nodes could be deployed in home, military, science, and industry applications such as transportation, health care, disaster recovery, warfare, security, industrial and building automation, and even space exploration.
The sink node requests sensory information by sending a query throughout the sensor field. This query is received at sensor nodes (or sources). When the node finds data matching the query, the data (or response) is routed back to the sink.
For example, if the sensors nodes be in a tree like structure, the base station roles as the root of the tree and each node will have a parent [4,5]. Therefore, the data items can be transmitted hop by hop from the leaf nodes to the root.
Key Challenges.
As the sensor nodes are small and battery enable devices, they have limited energy which should be used precisely.
Thus, the scarce sensor resources (in particular, the battery power) are easily over consumed.
Thus, the key challenge in such phenomena monitoring is conserving the sensor energy, so as to maximize their lifetime.
Proposed Technique
The proposed approach uses the advantages of cluster based and tree based approaches.
In this approach, the whole network consists of some clusters with the same size. Each node is related to a routing sub tree and each sub tree overwhelms a cluster and the root node of each sub tree is the head node of the related cluster.
The energy consumption in wireless transmissions is equal to the square of distance between two nodes in communication