Study On The Key Algorithms Based On Energy In Wireless Sensor Networks

Wireless sensor network integrates the technologies of sensor, embedded computing, distributed information transaction and wireless communication. The characteristics of self-organizing, mini-size, low cost and flexibility give it a very broad perspective in many fields such as military affairs, environment science, medical treatment, space exploration and business etc. Since 1990's, wireless sensor network has been being given much attention by the groups of academy, army corps and industry, as the rapid development of related technologies. The hotspots in the field include energy-efficient algorithm design of routing and medium access control, technologies of topology management, quality of service and cross-layer design, deployment and coverage, location and synchronization, optimal data gathering, etc. Above all, Energy-efficient algorithm design is not only an elementary principle for the study of all the hotspots, but also the major challenge of algorithms design in wireless sensor networks. This paper investigates related research work on energy consumption of wireless sensor networks, and proposes corresponding solutions and theoretical model for three problems in the research. This paper focuses on the energy-efficient protocol design of wireless sensor networks. The specific directions include the research of cross layer optimization, topology control and energy model in wireless sensor networks. The contribution of the paper is listed as follows:1. Proposes an Energy-aware Geographical Forwarding Protocol utilizing Adaptive Sleep (EnGFAS) from the point of view of cross layer design in wireless sensor networks. Information of traffic load and control is transferred among application layer, network layer and MAC layer in the protocol, and then energy-aware relay selection routing and adaptive sleep are implemented. The cross layer design improves the possibility of successful data packets forwarding, decreases and balances the energy consumption of nodes in the networks, and prolongs the lifetime of wireless sensor networks.2. Investigates the traditional clustering algorithms and mobile agent algorithms in wireless sensor networks, and then proposes a distributed energy-efficient data gathering scheme using multiple mobile agents. The scheme designs a non-interference clustering algorithm integrated with the utilization of multiple mobile agents. It remarkably simplifies the complexity of MAC and routing protocols, improves the energy efficiency and has better scalability.3. Presents the energy model for wireless sensor networks by tracing the data flow. It can be used to compute the whole energy consumption of wireless sensor networks and has pervasive applicability. The energy optimization model is built for wireless sensor networks, and then the optimization design of topology, transmission power and routing are implemented in network of link and clustering architectures, finally the simulation results validate the theoretical results.4. analyzes the space reuse and capacity of wireless sensor networks adopting IEEE802.11 DCF (RTS/CTS and CSMA/CA) integrated with different relay selection routing algorithm. And then proposes an energy model to evaluate the upper bound of energy consumption in wireless sensor networks based on the capacity of networks. The optimization routing design for the network of link architecture is implemented using this model.In summary, this paper focuses on the study of cross-layer design, topology design and energy model based on energy-efficiency in wireless sensor networks.