A novel energy consumption model using Residual Energy Based Mobile Agent selection scheme (REMA) in MANETs

In traditional Mobile Adhoc based wireless networks, routing path analysis and the performance metrics viz. Quality of Service (QoS) function as primary analytical measures. Normal MANET (Mobile Adhoc Network) topology considers minimum power management schemes. However, with the establishment of hybrid architectures the dynamic mobility issues turn out to be one of the primary concerns, which lead to energy conservation in MANET environment. Due to random mobility in MANET, there are chances that route failure may occur during the data transmission. This failure will lead to greater overload and increased delay. So there is a need for a cost effective technique for efficient data forwarding with better energy conservation. We propose a novel energy consumption model using Residual Energy Based Mobile Agent selection scheme (REMA). Mobile agents dynamically choose the appropriate upper layer agents by sharing topology information among nodes for reliable data transmission. Using this scheme, mobility weightage within the zone group and across different zone groups and the congestion free traffic characteristics are analyzed using multi mode gateway selection process. The energy of the nodes can be retained to the maximum time to increase the battery life and the gateway is selected based on the maximum weight which utilizes various route path data transfer mechanisms. The simulation results of the work, outperforms in terms of QoS metrics like high packet delivery rate, high throughput, minimum delay, reduced overhead and better energy efficiency when compared with the existing hierarchical protocols.