Collaborative localization in participatory sensing with load balancing

Teng Xi, Edith C. H. Ngai, Zheng Song, Ye Tian, Xiangyang Gong, Wendong Wang

Abstract: The increasingly popular smartphones enable participatory sensing systems to collect location-based sensing data for different tasks. However, GPS positioning is very energy consuming, which could drain a mobile device's battery quickly. High energy consumption may threaten the participants and reduce the sustainability of the participatory sensing systems. In this paper, we propose a collaborative localization strategy with load balancing. Simulations with real traces showed that our proposed solution can save more than 80% of the energy consumption for localization in the entire network with load balancing.