Incorporating Data From Multiple Sensors for Localizing Nodes in Mobile Ad Hoc Networks

The ad hoc network localization problem deals with estimating the geographical location of all nodes in an ad hoc network, focusing on those nodes that do not have a direct way (For example, GPS) to determine their own location. Proposed solutions to the Ad Hoc Localization Problem (AHLP) assume that nodes are capable of measuring Received Signal Strength Indication (RSSI) and/or are able to do coarse (Sectoring) or fine signal Angle-of-Arrival (AoA) measurements. Existing algorithms exploit different aspects of such sensory data to provide either better localization accuracy or higher localization coverage. However, there is a need for a framework that could benefit from the interactions of nodes with mixed types of sensors.