Optimization Of Multiple Conditional Observation Relationship On A Single Resource

Abstract

The Constrained Application Protocol (CoAP) is a simple and lightweight machine-to-machine (M2M) protocol for constrained devices for procedure in lossy networks which offer a small storage capacity and restricted processing benefiting the function of reliable delivery. Its implemented for message exchange over UDP to support IoT providing observing resources. However, CoAP lucks efficiency to perform multiple resources and can’t handle frequent requests. This creates the highest issue on energy, packets, storage and more till observers started being observed conditionally which benefits the CoAP observers to avoid unnecessary communication by letting CoAP client to specify the conditions the client interested in but trigger potential CoAP observers registered on observers list to raise optimization issues whenever new additional observer allowed to join makes the request multiple which makes the packet generation leading to observers request and their information requires extensive memory and energy. Since huge amount of data have enough capacity to disturb the entailer network resulting buffer overflow and packet loss. To overcome these problems , we proposed an approach to optimize multiple CoAP clients request in to a single link format by aggregating multiple observation relationships designing user application module and deploying remotely to the sensor nodes on the network to ease high storage need by dropping excessive packet overflow. this implementation carried out using Contiki with Cooja Simulator and evaluated by captivating diverse measures of storage space, energy consumption, delay and number of packet transmitted in the network. The proposed approach improved overall performance of the system by identifying the impact of multiple conditional observation relationship and brought an efficient solution to further reduce traffic.