Design of Eco-Energy Efficient Routing protocol to build Green Wireless Sensor Networks

Class of Networks with nodes termed as Sensors or Motes. Collectively formation of Network with Sensors called Wireless Sensor Networks (WSN). Sensor Nodes can communicate with each other node within the sensing range of the sensing field. The sensed information is transformed into digital signals to reveal specific properties related to the sensor field. WSN is one of the most rapidly developing information technologies and promises various applications in the Next Generation of Networks (NGNs). The following approach will create an ecologically friendly and energy-efficient routing system for a wireless sensor network: Construct a network with the desired area dimensions. Deploy the nodes in the network using localization techniques using Machine Learning algorithms. It will reduce (First principle of R-reduce) the load balancing among nodes. Secondly, cluster formation of the nodes using routing techniques for data inter transmission and intra transmission involves energy harvesting techniques. These Energy harvesting is a technique for resolving energy issues by collecting energy already present in the surrounding environment in terms of reusability(Second principle of R-reuse). Energy harvesting is a term that refers to the process of extracting energy from the environment and converting it to electricity. The Recycle (Third principle of R-recycle) concept can be used in fault tolerance, packet transmission securely, storage perspective for future processing and usability. Instead of fault nodes to be ignored or set idle as it is fault, they can be recycled and make it normal node and used in communication in the network. In Storage process also for storing the sensed data for future process and analysis we use cloud computing in wireless sensor networks.