Waste collection and transportation, is the most costly stage in a waste management program. An IoT based methodology has been proposed as a new solution .Waste management are the activities and actions required to manage waste from its inception to its final disposal. Smart Street Bin describes the scope of work of "Smart Bins" in managing the waste collection system for an entire city. It provide the Smart Dustbin which uses Wireless Sensor Networks(WSN's) and Mobile applications towards the betterment of Smart Cities. Smart dustbin provides Environment friendly smart dustbins and is a Client-Server model. The proposed system enhancing the project by including two different android applications, one is BBMP app and other one is User app. Smart bin measures waste level ,temperature level, humidity and harmful gases level and all are get updating in a user applications and notification with map send to BBMP application.
Mobile ad hoc networks due to their ease and speed in setting up are currently used in emergency, military and other areas. Due to their frequent use in applications where the integrity of data and communication is necessary it is very important to provide security for the MANETS. The wireless ad hoc networks have different characteristics when compared to wired networks, so the intrusion detection techniques employed for wired networks can no longer be effective for an ad hoc network when applied directly. Hence the existing Intrusion detection system have to be modified to work effectively in the new network environment .In this paper we give an introduction to MANETS and different intrusion detection techniques. We then propose IDS that uses a quantitative method of anomaly definition based on transmission characteristics and transmission behavior of the nodes
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