Intelligence solid waste bin is essential to develop an efficient and dynamic waste management system. The common litter bins placed by the municipal corporation are leading no. of health, environmental and social issues. This research presents the implementation and execution of an integrated sensing system and algorithm for solid waste trash bins to automate the waste management process. Various causes like improper dustbins placement in City Corporation and specifically, people are not aware enough to use dustbins in a proper way. Such major causes are leading serious problems like an unhygienic condition, air pollution, and unhealthy environment. Several sensing methods have been integrated and have combined their verdicts that offer the detection of bin condition and its parameter measurement. Research has been carried out by developing the software application for indicating dustbins status, shortest path method for collecting vehicles by integrating Radio-Frequency Identification (RFID), Global System for Mobile communications (GSM), Geographic Information Systems (GIS), trash collection and management in residential locality is the basic considerations referred to in smart cities. The concept of trash collection is quite tedious. For efficient trash collection, we use the concept of the Internet of Things (IoT) which acts as a backbone technology. With the increase in population, especially in the urban areas waste collection, categorization and disposal have become a major problem for government authorities. An IoT based waste collection framework is proposed to automate the solid waste identification, localization and collection process. The optimization algorithm is used as proposed evaluation criteria to achieve higher efficiency with the outcome of the efficient and intelligent sensing system to automate any solid waste bin management process and also the goal of making cities smarter, greener to provide the healthy and hygienic environment.