Reduction in Resource Consumption to Enhance Cooperation in MANET Using Compressive Sensing

Abstract

Energy and bandwidth are the scarce resource in a wireless network. In order to prolong its life nodes drop packets of others to save these resources. These resources are the major cause of selfish misbehavior or noncooperation. To enforce nodes cooperation this paper presents the reduction in resource consumption using Compressive Sensing. Our model compresses the neighborhood sparse data such as routing table updates and other advertisement. We have divided a MANET in terms of the neighborhood called neighborhood group (NG). Sparse data are compressed by neighborhood node and then forwarded to the leader node. The leader node joins all neighborhood data to reconstruct the original data and then broadcasts in its neighborhood. This gives a reduction in resource consumption because major computations are performed at leader end which saves battery power of neighborhood nodes. It compresses sparse data before transmission thus reduces the amount of transmitting data in the network which saves the total energy consumption to prolong life of the network. It also prevents from several attacks because individual nodes do not accept the advertisement and updates directly rather it uses leader node processed information.