Abstract
A wireless sensor networks (WSNs) play a significant application, especially in the monitored remoting environmental, which enables by the availability of sensors which are cheaper, smaller, and intelligent. The equipment of such sensors be with wireless interfaces, which a communication with other sensors occurs for creating a network, that contains many distributed nodes. The closest nodes to the sink are exploited at an enormous traffic load while the data from the whole regions are forwarded between them to reach the sink. This result in exhausting their energy quickly and partitioning the network. This is solved by changing the sink node position in Grid based clustering technique, which considers the optimal method for this purpose. A simulation with MATLAB can be applied for grid based clustering technique to evaluate the performance of WSN. The expected results deal with outperforms in throughput, reducing energy consumption and increasing residual energy, in addition to prolong the network lifetime of the sensor network
Highlights
A currently, a wireless sensor networks (WSNs) are among the most essential technologies, which consists of huge number of small nodes having a communication, computation in addition to sensing capabilities
The rate of energy consumption and the WSN transmission overhead may be decreased during the aggregated data generation, and the forwarding of the data aggregation
A usefulness of grid based clustering head (GBCH), comprise the sensing field partitioning through grids with equal square size, the CH selection at any grids, increasingly the network lifespan, and improving the energy efficiency [21]
Summary
A currently, a wireless sensor networks (WSNs) are among the most essential technologies, which consists of huge number of small nodes having a communication, computation in addition to sensing capabilities. A usefulness of grid based clustering head (GBCH), comprise the sensing field partitioning through grids with equal square size, the CH selection at any grids, increasingly the network lifespan, and improving the energy efficiency [21] This technique contains two important phases, the first is initial clustering and the second is data transmission. Many parameters are used to evaluate the WSN performances with grid-based clustering techniques including essentially consumption of energy during transmission, throughput, in addition to network lifetime. The time duration of the simulation is 120 seconds, maximum packet size to be sent is 512 bytes using SEP-E Routing protocol, Data Rate is 11 Mbps, Initial energy is 4 mJ, Nodes deployment is random, Position Dynamic Channel type is Wireless Communication Bi directional. Network Lifetime It is the minimum time duration (sec) of network operation in which the number of sensor nodes is dying or shut down at long simulations run performed
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