Wireless Sensor Network: A Dynamic Data-Mule Scheduling Technique On Network Routing
Wireless communication is the engine human civilization in the digital world. In this research paper, researchers discuss working source node packet-data transmission in network application layer through data-mule scheduling. Route-based configuration of wireless sensor network designed in laboratory settings were used in the conduct of this research. Authors address the packets congestion in the communication medium of the wireless sensor network by creating a dynamic data-mule scheduling. Researchers detailed the schedule of data-mule for source nodes, neighbor’s nodes and working nodes from the nodes in the network. This research was conducted through Distance Vector Routing data-mule scheduling – DVR protocol. Transmission delay of scheduling the nodes passing through the route was improved. Network neighbor nodes that have acquired and set its scheduled and list the priority of the route is proven effective with lesser value of network latency. The performance of packet-data transmission through this technique experiments were evaluated to determine the lowest latency value of the source node returning from a route going to the destination node.
Authors apply different parameters such as number of nodes, source nodes, time interval, distance (Kilometers2), stop-time (second), packet size and route. Improvements to lessen the delay of transmission of packet data from a source working nodes passing through a scheduled route have efficiently improved. We proved that even with a higher number of source node and neighbor’s nodes connected to a cluster head, applying data-mule scheduling technique for sources nodes improved and address packet-data transmission delay going to a sink node.
Technological change of the world demands faster, stronger, stable and reliable communication. According to authors rising demand in wireless communication has motivated the industry-academia to innovate in response to communication requirements of today’s applications. Researchers communication gateway of wireless sensor network (WSN) is an ad-hock connection that are separated by distance elements and designed with system configuration protocol. WSN is a communication devices that transmits and received packet data. This can be in the domain of industrial, agriculture, automation, medical health, computer aided design, smart building, smart devices and so on.
An adhoc network that is deployed consists of small weighted sensor nodes in a physical environment with a sensor base in which the sensor nodes send all data collected. Wireless sensor network communications are temporal controlled decisions through a network layers. In wireless communication, latency is one of the major concerns that exist in provisioning data centers which are geographically distributed. Authors introduce the bandwidth availability and time delay forwarding from a base network through a shortest path algorithm. Additionally, authors perform an analysis on wireless communication transmission delay. The nodes between devices play a vital role that connects each one to communicate a certain volume of nodes and resulted to latency. Connectivity between computers to another computer is an example of how network works. Sensor networks are expected to play an essential role in the upcoming age of pervasive computing and non-ending technological change.
However, connecting data-mules to the route are not scheduled. Sources nodes in the processing nodes were not given schedule and assigned timeline during the routing process that creates a volume of queue nodes in the processing stages. The packet-data from connecting source nodes is sent through a route by a packet mule or data-mule, the response duration of the nodes creating a cycle or lapse time that indicates success connectivity is the greatest key concepts of this research. Minimize the delay duration of packet-data, by creating systematic data-mule schedule in the routing process stage. Determine the delay in transmission of packet data from source node to destination node. Create best schedule of data-mule going to the route for all the connecting working nodes. Data-mule-scheduler of the route identifies the best priority packet-data in the entire working nodes. A typical network of computers connect with each other are controlled by different protocols applied. Providing schedule to all connecting nodes is a technique illustrate in this research that helps lower the network latency.
The connection that present between the two devices on how and why they are connected is empowered by occurrences of different factors. Additionally, the source nodes could be mobility nodes, switching nodes or static location nodes. One of the main factors is nodes latency communication. Creating a data-mule scheduling technique in wireless sensor will ultimately enhanced packet-data communications.
