Optimizing Transmission Power and Energy Efficient Routing Protocol in MANETs

• Published in: Wireless personal communications Vol. 106; no. 3; pp. 1041 - 1056
• Main Authors: Femila, L., Marsaline Beno, M.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2019; Springer Nature B.V
• Subjects: Algorithms; Batteries; Communications Engineering; Computer Communication Networks; Energy consumption; Energy management; Energy transmission; Engineering; Mobile ad hoc networks; Mobile communication systems; Networks; Packets (communication); Power consumption; Power management; Shortest-path problems; Signal,Image and Speech Processing; Wireless networks; CPLNC; MANET; CCSPR; COSPNCR; EPAR; Energy saving
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-019-06202-7

Energy is the important criterion for a decentralized network. By the cooperative physical layer network coding scheme, the requirement of energy transmission can be reduced. This could be implemented using two routing algorithms namely CCSPR and COSPNCR. An algorithm is constructed for reducing power consumption and rate control. In contradiction of the conventional power aware algorithms, an efficient power aware routing (EPAR) method is proposed which distinguishes the capability of nodes by its residual battery power, and through the expected energy that spent in reliably data packets forwarding on a specific link. To evaluate this, the data routing is performed with high mobility in dynamic environment. By using this algorithm, less cost path can be chosen and data rate can also be controlled. Thus energy consumption can be decreased and hence lifetime of a node can be improved. This approach first identifies the path having high lifetime and through that path, the communication will take place. This work consumes a lesser amount of energy for the routing, thus makes power efficient routing. Hence the throughput is increased and the power consumption is reduced. The conventional shortest path routing method on regular line and the grid line networks attains the gain of energy savings up to 45–75% correspondingly. By using EPAR algorithm, the energy consumption rate is minimized, so the network life time and the performance are improved. The energy consumption rate can be decreased to 80% by using EPAR approach in Mobile Ad hoc Networks.