Graduate Research in Engineering and Technology (GRET)


Recent technological advances have facilitated the widespread use of wireless sensor networks in many applications such as battle field surveillance, environmental observations, biological detection and industrial diagnostics. In wireless sensor networks, sensor nodes are typically power-constrained with limited lifetime, and so it’s necessary to understand however long the network sustains its networking operations. We can enhance the quality of monitoring in wireless sensor networks by increasing the WSNs lifetime. At the same time WSNs are deployed for monitoring in a range of critical domains such as military, healthcare etc. Accordingly, these WSNs are vulnerable to attacks. Now this proposed work concentrate on maximizing the security of WSNs with the already existing approach (i.e. combination of A* and fuzzy approach) for maximizing the lifetime of WSNs. This paper ensures sensed data security by providing authenticity, integrity, confidentiality. So, this approach provides more effective and efficient way for maximizing the lifetime and security of the WSNs.





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