Abstract: Although adoption pace of wireless sensor network has increased in recent times in many advance technologies of ubiquitous-ness, but still there are various open-end challenges associated with energy efficiencies among the sensor nodes till now. We reviewed the existing research approaches towards energy optimization techniques to explore significant problems. This paper introduces MOMEE i.e. Manifold Optimized Modeling of Energy Efficiency that offers novel clustering as well as novel energy optimized routing strategy. The proposed system uses analytical modeling methodology and is found to offer better resiliency against traffic bottleneck condition. The study outcome of MOMEE exhibits higher number of alive nodes, lower number of dead nodes, good residual energy, and better throughput as compared to existing energy efficient routing approaches in wireless sensor network.

Rajalakshmi M.C. and A.P. Gnana Prakash, “MOMEE: Manifold Optimized Modeling of Energy Efficiency in Wireless Sensor Network” International Journal of Advanced Computer Science and Applications(IJACSA), 8(1), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080141

@article{M.C.2017,
title = {MOMEE: Manifold Optimized Modeling of Energy Efficiency in Wireless Sensor Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080141},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080141},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {1},
author = {Rajalakshmi M.C. and A.P. Gnana Prakash}
}