Minimization of Energy Consumption Using X-Layer Network Transformation Model for IEEE 802.15.4-Based MWSNs

This analysis of MWSNs illustrates that IEEE 802.15.4 has very wide applications in the province of mobile wireless sensor networks as per the related research in this extent is concerned. One of the major investigation in the consideration of MWSNs sustains from the problem of system throughput and end-to-end delay along with the issue of energy consumption. This idle illustrates a X-layer network (cross-layer network) transformation model that can decline the problem of energy consumption and along with end-to-end delay in these networks. In this paper, the moderate model restrains four layers in the network transformation: (a) application layer, which has been utilized to update the node locality and information; (b) network layer, which has been accomplished to recognize the routing of the internetwork through links; (c) MAC (medium access control) layer, which has been centralized on the effectiveness of the networks, and (d) physical layer has also been recommended keeping the intentional view on transmission power from sensor node to the sink node. The place/location and position/status of the mobile node is interlinked in the routing transformation immediately as soon as the route finding process is successfully terminated and then it is been employed by controlling the transmission power of the MAC layer to rectify the range of the transmission with respect to the route. As per the future expectations of practical characteristics is concerned, adjacent NB(neighbor) list discovery broadcast will be engaged only for active nodes. But this paper is accomplished an modern technique, i.e., mobility aware protocol, which recognizes the mobility (velocity/speed) of the nodes so that only those respective nodes will be upgraded with its adjacent NB-list broadcasting, resulting in minimum power utilized by the network interface and also in the degradation of the energy consumption of the node’s. In spite of the above concern, one more additional cause approaching in this model is the issue of bottleneck problem, which has been established due to multiple sources resulting in huge packet loss. This issue has been solved by pipe-lining those packets of the sensor which are nearer to the sink node, which results in reduction of end-to-end delay and energy utilization resulting in high system throughput. Through NS-II simulation, the results of energy consumption, system throughput, end-to-end delay, etc., has been shown.