A new method of lossless Secure Data Aggregation for Wireless Sensor Network is presented. Secure Data Aggregation is achieved using the popular Chinese Remainder theorem. Here, an ‘Augmented Chinese Remainder System’ is introduced that incorporates additional features to enforce a higher level of security to the aggregated data. The scheme provides inbuilt signature verification and eliminates the need for separate data validation algorithms. The method achieves data integrity and authentication simultaneously in addition to lossless data aggregation for the data forwarded from the Cluster Head to the Base Station. The aggregate contains the entire individual data from sensors in the encrypted form and the receiver deaggregates it to get the original data in full without any loss. The Augmented Chinese Remainder System can be extended to secure Multi-level Data Aggregation for WSN.

In a rectilinear route, a moving sink is restricted to travel either horizontally or vertically along the connecting edges. We present a new algorithm that finds the shortest round trip rectilinear route covering the specified nodes in a grid based Wireless Sensor Network. The proposed algorithm determines the shortest round trip travelling salesman path in a two-dimensional grid graph. A special additional feature of the new path discovery technique is that it selects that path which has the least number of corners (bends) when more than one equal length shortest round trip paths are available. This feature makes the path more suitable for moving objects like Robots, drones and other types of vehicles which carry the moving sink. In the prosed scheme, the grid points are the vertices of the graph and the lines joining the grid points are the edges of the graph. The optimal edge set that forms the target path is determined using the binary integer programming.