One of the important issue in MANETs is an energy saving and security. Each node in MANETs has limited energy resource, so that the lifetime of the network is one of the major critical issues.This paper studied SVM data aggregation method for classifying nodes according to their threshold values, this method eliminated the data redundancy and outliers but classification method is not much enough to reserve energy by power degradation on nodes in MANET. The sources of energy conservation are transmission cost, encryption/decryption, reducing data redundancy and transmission time in MANETs. Here P-coding can offered security based on symmetric key encryption, but symmetric key algorithms are not sufficient to provide security in MANETs. This paper introduce new scheme of energy saving called "Permutation based K-means Clustering" (PKMC) proposed for MANETs, which improves overheads, packet drops, transparency, security and energy efficiency. By the use of Permutation and K-means clustering, multiple clusters can be form with similar objects and each object provides security to data during data transmission. Thus, Permutation based K-means clustering contains minimum energy conservation as compares to previous data aggregation and encryption/decryption methods.

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One of the important issue in MANETs is energy saving. Recent studies show that Network coding can reduces energy consumption by less transmission in MANETs. Encryption/decryption, transmission cost and transmission time are worked as source of energy consumption in MANETs. Network coding provides intrinsic security based on which encryption can be done quite efficiently, but to provide security for MANETs symmetric key algorithms are not sufficient. This paper introduce new scheme of energy saving called Enhanced Lightweight P-Coding (ELP) proposed for MANETs, with network coding which improves throughput, transparency, security and energy efficiency. The basic idea is, let the source compress the coded message (which is prefixed with its coded vector) using Enhanced LZW algorithm and hence due to compression and without knowing the permutation, eavesdropper cannot decode the message. Data compression technique can reduce transmission time that consumes less bandwidth and low power. Thus Enhanced lightweight P-Coding consist minimal energy consumption as compare to other encryption/decryption methods.

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