Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network

Table 6

Energy-efficient data processing for the sensor cloud.

References	Algorithm/method	Problem discussed	Benefit/achievement	Drawback/limitation
[33]	Query management and optimization	Reduction of the uncertainty and propagating the query result intelligently	Reduced energy consumption and sensing cost	Latency constrained optimization is yet to be addressed
[34]	Integrating WSN and Cloud	Avoiding network disruption and loss of data	More network lifetime and availability of data	Does not support real time patient monitoring
[35]	Storage and retrieval of big data	To work in an environment where distribution of the node is not uniform	Energy efficient, less data loss rate, and efficient query processing	Deployment issue in the real world scenario is not yet addressed
[36]	Routes matching with altitude data	To use cheap air pressure sensor instead of GPS	Increased mobile battery lifetime	Does not support multiuser environment