Low Power Protocol And Software Design For Wireless Sensor Network

Wireless sensor networks hold the potential to open new domains to distributeddata acquisition. However, low-cost battery-powered nodes are often used to imple-ment such networks, resulting in tight energy constraints. Also, such networks areprone to premature failure because some nodes deplete their batteries more rapidlythan others due to workload variations, non-uniform communication, and heteroge-nous hardware. Many-to-one tra?c patterns are common in sensor networks, furtherincreasing node power consumption heterogeneity.In this work, we have found that sensor node distances and densities are key fac-tors in clustering data collection. Other than previous uniform-size clustering tech-niques, which neglecting to adapt cluster sizes to local network conditions, the pro-posed adaptive clustering scheme achieves up to 36% communication energy savingsin the network data collection. Further more, di?ering from most previous sensor net-work lifetime enhancement techniques, which focused on balancing power distribu-tion, this work gives a formulation and solution to the cost-constrained lifetime-awarebattery allocation problem for sensor networks with arbitrary topologies and heteroge-neous power distributions. A solution of multi-level battery equipment of the sensornodes is build, which sharply shorten the working time di?erence of each node, makingthe network lifetime 10 times longer.