This research looks into new developments in wireless sensor network (WSN) energy harvesting technologies and how they affect self-powered systems. The primary goals are to investigate various energy harvesting technologies, pinpoint integration tactics and obstacles, look at case studies and real-world applications, and suggest future lines of inquiry and research avenues. A thorough analysis of the body of research from credible internet sources, conference proceedings, and peer-reviewed publications is part of the technique. The importance of developments in materials science, their integration with AI and ML methods, the creation of multimodal energy harvesting systems, the investigation of novel energy sources and mechanisms, and the consideration of environmental and social impacts are all highlighted by critical findings. Policy implications include the need for financial incentives, legal frameworks, ecological assessments, social equality programs, and support for research and innovation to encourage the widespread acceptance and sustainable deployment of self-powered sensor networks. By expanding our knowledge and developing new energy harvesting methods for WSNs, this research helps to create sensor systems that are reliable, efficient, and self-sufficient.