Energy Efficient Routing Strategies for Large Scale Wireless Sensor in Heterogeneous Networks

The efficiency of a wireless sensor network depends on its life time. By conserving the energy of each sensor for increase in the network lifetime. The basic operations of a wireless sensor network are sensing [1]. The data to the energy sink term is for next transmitting node. The communication or routing [2], process operation be allowed in any operations for all nodes [3]. We propose to select a specific collection of nodes for communication with considering the importance of wireless sensor where security [4] and power usage [5] is taken as top priority.


Introduction
A typical Wireless network has large number of nodes with sending and computation capabilities. The common tasks are monitoring the process by sensors, communicating to the nodes in the network and development of path for less power consumption in sensor data transmission. Wireless sensor networks (WSNs) [9] integrated with the leading edge technologies, such as sensing, micro electromechanical systems (MEMS), wireless communication, and distributed information processing, have emerged as the time requires. A wireless sensor network is comprised of a large number of small and cheap sensor nodes. Steps followed are:  Deploying the nodes in network with global addressing.  Connecting to sensors when data communication is needed.  After each node communication, updating the node allocation table.  Sensors deactivation after no path for communication (for efficient energy consumption)  Listing all the active nodes and sensors in network.  Waiting list of connections or communication which are registered in network (helps in security terms if node is registered in network)  Repeatedly node communication terming as one batch (Ranking each node). Normally, the nodes of a wireless sensor network have limited energies. Due to the one-off deployment, it is difficult to replenish the energies. Due to the different duty and equipping for the sensor nodes, the energy consumption will be different Among them. So, it is an energy heterogeneous sensor network. Routing protocols will be responsible for discovering and maintaining energy efficient routes and make communication reliable and efficient.

A. Implementation overview
In this paper, we are proposing a new paradigm of energy efficiency in various wireless sensors. We performed real-time integration from NA2 with variant sensors. We did bidirectional data Synchronization between different sensors. This section enumerates the detailed architecture of the grouping nodes and communicating via sensors in keeping both energy and security issues as top priority.

Design and development
Heterogeneous sensor networks mean a network composed of a variety of different types of sensor nodes. As per the basic steps we have taken, we will discuss each in implementation way:  Deploying the nodes in network with global addressing [10]. In a communication network where we have a wireless devices there is more chance of getting the data sharing over a number of devices. We consider the aspect of data sharing as main goal in wireless devices from every node to another node but with registered id (R-NID) [11] in the network. Whenever a node is ready to communicate to the available registered device we first make that node to register in the network with basic information and generate an ID for the new node, after getting id that is termed in network global addressing. sensor id, receiver id, sensor id) the collection of information is repeatedly updated and if any sensor is damaged then the data is resend to the sender with an flag signal set to nonzero value. This non-zero value is always generated when the sensor is in active (damaged, no signal, not working or any other technical problems). The collection of node is termed as Cluster by following rules:  Repeatedly two registered nodes communicating to each other.  Two or more registered nodes sending or receiving the same type of data frames.

A. Active node
This term is taken for every node which is in network with global addressing and registered id and ready to receive and send data with sensor acceptability. The wireless channel is symmetrical. The energy consumption for transmitting one bit from node to node is equal to the energy consumption for transmitting one bit from node to node.

B. Active sensor
This term is for more than an important role in network synchronization and non-synchronization nodes. Technically problem devices are not treated as active sensors. Waiting list of connections or communication which are registered in network (helps in security terms if node is registered in network). In network we may have less sensors and more nodes leading to nodes in waiting stage, but it's an serious issue and to solve this we take the time sequencing of each sensor and when time sequence is less than 3 seconds then and device slicing is done which helps to dedicate to new node and simultaneously do the pending transmission with BI-SYNC signal.
Repeatedly node communication terming as one batch (Ranking each node). Ranking each node is done in respect to active node, active sensor and clustered nodes. The data nodes are updated with established connections with successful data transmission. The priority of node in communication is treated as clustered node as top priority. The following are the rules taken for terming the batch of node or CLUSTER and ranking:

Conclusion
In this paper we have given only the idea of proposed importance of sensor and communication in wireless devices where the security and energy is efficiently used by making the node in UNSYNC mode of sensor. Further we will also write the details of techniques we are planning for sensors and nodes data transmission. In this paper, we proposed a routing algorithm for multilevel energies heterogeneous sensor networks based on uneven clustering, EDEUC (Energy-Distance Efficiency Based on Uneven Clustering), which constructs an optimal path to the base station with multihops by cluster-heads. The EDEUC strategy can reduce the energy consumption of the nodes and prolong the life cycle of sensor networks effectively.