چکیده:
In this study we want to optimize routing in underwater sensor networks through considering the spatial distribution of network's sensor nodes and their energy consumption limitation such that the overload of layer routing protocol (including the number of message passing specified to routing operation and waiting time for upper layers) on network output will be decrease, The main feature of this study is simultaneously considering the model of underwater channel, geometric distribution of network and transaction of network layer and MAC sub layer is solving routing problem. In this study we present a routing mathematical model with the capacity of sink movement in wireless sensor networks. We introduce an algorithm to compute the DS in certain modeled networks as a graph. Through simulation, presented design will be evaluated and investigated ,Our presented design is Depth and Energy Aware Dominating Set based Algorithm (DEADS) ( an algorithm based on depth and energy) . In this study we applied MATLAB software for simulation. Finally we conclude that the durability and the trend of active nodes in each period of our presented design is better suggesting that the applicability and capacity of our plan was improved, Also the energy consumption of our design is as a result of more transfer number. Also, head-to-head delay is lower and partially it is followed from the same paradigm.
خلاصه ماشینی:
"Routing based on maximizing Output in underwater sensor networks Mohsen Arzani Galea Noy* and Saheb Aghajeri Department of Electrical and Electronic Engineering, Faculty of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Original Article: Received 10 Jan. 2017 Accepted 10 April 2017 Published 20 May. 2017 ABSTRACT In this study we want to optimize routing in underwater sensor networks throughconsidering the spatial distribution of network's sensor nodes and their energy consumption limitation such that the overload of layer routing protocol (including the number of message passing specified to routing operation and waiting time for upper layers) on network output will be decrease, The main feature of this study is simultaneously considering the model of underwater channel, geometric distribution of network and transaction of network layer and MAC sub layer is solving routing problem.
This main column will decrease communication overload, increase bandwidth , reduce total energy consumption and increase network lifetime of wireless sensor networks, In addition to acting as main column dominant set sends effectively data towards MS which are placed next to the predefined optimal routes, With these two different criteria for selection, selecting partner node will be compared according to depth threshold, PNS SNR -DTRE ratio.
in remaining energy will occur during initial time periods, Then, energy consumption will decrease because nodes Figure 9: Comparison of received packs in MSs to dynamic samples of short sinkAccording figure 9, DBR and EEDBR output will decrease rapidly due to decrease in network which are not energy and d th based on output consistency will decreaseappropriate for delay tolerance applications."