Comparative Study of Different Cost Functions Between Neighbors for Optimizing Energy Dissipation in WSN

Abstract

Life time of battery is one of the major concerns in Wireless Sensor Networks (WSNs). Traditional network algorithm chooses the data transmission path based on the distance between sender and receiver. For example, in Directed Diffusion (DD), the nodes closer to the sink node are more active so that the continuous data flow of the network is maintained. However, in such scenario, there is an energy hole problem because the nodes closer to the sink reduce their energy since they are more active. But if the residual energy and shortest hop counts can be taken together, then the problem can be overcome. We have analyzed different transmission cost functions with respect to Approximated Uniform Energy Dissipation Directed Diffusion Algorithm (AUEDDD). The final goal of the paper is to find out the suitable cost function to resist the early death of the first node of a network. We introduce dynamic priority variable, which is a tradeoff between total energy consumption and uniform energy dissipation.

Energy Consummation in cognitive radio network using Different Methods

“…The second one involes a backup non-renewable energy source, such as the on-grid energy that will guarantee the smooth operation of the system in case the harvested energy is insufficient [12], [13]. The third one is radio resource exchange among neighboring nodes, such as the energy cooperation scheme that can share one system's excessive energy with the other [14].To minimize the impact of dynamics of green energy sources on the network performance, the modernized electricity grid has allowed the distributed harvested green energy to be contributed back to the smart grid in exchange for on-grid energy credit [17], [18]. Consequently, in the green energy powered wireless access networks, the smart grid is an "unlimited energy storage device" with back up ongrid power supply.…”

Improving Energy Efficiency With Content-Based Adaptive and Dynamic Scheduling in Wireless Sensor Networks

“…To minimize energy consumption and prolong the network life-time, numerous schemes have been proposed. Most of these schemes have mainly focused on energy dissipation [19] [20]. Different phases are defined in various protocols to control and monitor activities in the network.…”