Abstract
Wireless sensor networks applications involve a position of inaccessible metropolitan vicinity en-closed by wireless sensor nodes (WSNs)-monitors environmental parameters like battle field surveillance, home applications like fire alarm, health monitoring, etc. Energy plays a vital role in Wireless sensor networks. So, we have to concentrate more on balanced energy consumption for maximizing the network lifetime. Minimizing the whole network overhead and vigor disbursement coupled with the multi-hop data reclamation process that ensuring balanced energy consumption among SNs which results in prolonged network lifetime. This can be achieved by forwarding the sensed data to their cluster heads and then filtering the data before sending it to their tryst nodes, which is located in proximity to MS’s trajectory. Sleep and awakening of nodes periodically helps to retain their energy for some more time. The events occurring in any part of the network should be identified by the nodes, while arrangements sleep and active among the nodes. (i.e.) the nodes should be scheduled to sleep, so that the outstanding nodes can take care of the whole network. The eXtensible Randomized Matrix Arithmetic Coding (XRMAC) Technique has been used to enhance the security among all the nodes in the network. Simulation results show that our Proposed Scheme can have better Lifetime, improved throughput, reduced delay compared to other existing methods.
Highlights
Wireless Sensor Network (WSN) is a collection of sensors with limited resources that collaborate in order to achieve a common goal [1]
The data from the cluster heads sent to the tryst nodes, located in its cluster. This tryst node is responsible to transmit the data to the mobile sink, when the MS comes in range to it
Cluster head has been used to reduce the transmission of redundant data by data aggregation
Summary
Wireless Sensor Network (WSN) is a collection of sensors with limited resources that collaborate in order to achieve a common goal [1]. Sensor networks are spatially distributed sensors to monitor conditions at different locations, such as strain, hotness, reverberation, shuddering, gesture or pollutants These tiny sensor nodes, which consist of intellection, data dispensation, and communicating mechanism, pull the idea of sensor networks based on mutual effort of a large number of nodes [2]. Nodes—more rapidly to this descend are heavily used to spread data from all network nodes and so, their energy is consumed faster, leading to a non-uniform depletion of energy in the WSN. This results in network disconnections and limited network lifetime [6]. XRMAC—eXtensible Randomized Matrix Arithmetic Coding [7] has been used to secure data communication between source nodes to the destination nodes in the particular cluster
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