Improvement of End-to-End Delay Distribution in WSNs

The Wireless Sensor Networks (WSNs) is field of research due to its high mobility as well as scalability in several areas working on functions of sensing, monitoring, tracking, control and maintenance. I found many advantages and disadvantages related to WSN in network study. The QoS related with many systems are very sensitive parameters, they are as Average delay, End to end delay, Throughput, Packet loss, Energy consumption, Latency, etc. Due to nondeterministic nature of the wireless channel and queuing mechanisms of nodes, also the probabilistic analysis is necessary. So compared with number of paper, end to end delay parameter is considering for meet a strict deadline on WSN. The previous delay analysis work fail to give the single hop delay distribution, also the congestion traffic is not considered. This paper gives to reader brief idea about, cross-layer analysis framework for performance evaluations. To the best of my knowledge, this is the research work that provides a brief idea behind end-to-end delay distribution in WSNs. It is also comparing average delay and end to end delay for traditional system and cross layer design.