tailieunhanh - Báo cáo hóa học: " Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks | Nazir et al. EURASIP Journal on Wireless Communications and Networking 2011 2011 92 http content 2011 1 92 o EURASIP Journal on Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access Sleep wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks Babar Nazir1 Halabi Hasbullah1 and Sajjad A Madani2 Abstract We present a sleep wake schedule protocol for minimizing end-to-end delay for event driven multi-hop wireless sensor networks. In contrast to generic sleep wake scheduling schemes our proposed algorithm performs scheduling that is dependent on traffic loads. Nodes adapt their sleep wake schedule based on traffic loads in response to three important factors a the distance of the node from the sink node b the importance of the node s location from connectivity s perspective and c if the node is in the proximity where an event occurs. Using these heuristics the proposed scheme reduces end-to-end delay and maximizes the throughput by minimizing the congestion at nodes having heavy traffic load. Simulations are carried out to evaluate the performance of the proposed protocol by comparing its performance with S-MAC and Anycast protocols. Simulation results demonstrate that the proposed protocol has significantly reduced the end-to-end delay as well as has improved the other QoS parameters like average energy per packet average delay packet loss ratio throughput and coverage lifetime. Keywords wireless sensor network sleep wake scheduling MAC duty cycle energy efficiency routing 1. Introduction The latest advances in distributed computing and micro electro mechanical systems have enabled in the past few years the emergence of a variety of wireless sensor network applications comprising military 1 disaster management 2 building health 3 environment industry and domains. Wireless sensor network is a network of spatially distributed sensor nodes equipped with sensing computing power and