Wireless Sensor Networks (WSNs) are event-driven network systems consist of many sensors node which are
densely deployed and wirelessly interconnected that allow retrieving of monitoring data. In Wireless sensor network,
whenever an event is detected, the data related to the event need to be sent to the sink node (data collection node). Sink node
is the bottleneck of network there may be chance for congestion due to heavy data traffic. Due to congestion, it leads to data
loss; it may be important data also. To achieve this objective, soft computing based on Neural Networks (NNs) Congestion
Controller approach is proposed. The NN is activated using wavelet activation function that is used to control the traffic of
the WSN. The proposed approach which is called as Modified Neural Network Wavelet Congestion Control (MNNWCC), has
three main activities: the first one is detecting the congestion as congestion level indications; the second one is estimated the
traffic rate that the upstream traffic rate is adjusted to avoid congestion in next time, the last activates of the proposed
approach is improved the Quality of Services (QoS), by enhancement the Packet Loss Ratio (PLR), Throughput (TP), Buffer
Utilization (BU) and Network Energy (NE) . The simulation results show that the proposed approach can avoid the network
congestion and improve the QoS of network.

In this paper, the design and realization of motion detector system for house security based GSM network is presents. The development of microcontroller carried out intruder detection that supports tracking techniques to provide vital security with control and alert operation inside and outside the home. The pivot of security on the integration the motion detector and cameras into web applications has become more interested. The smart surveillance Pi camera obtain the input from the motion detector and controller which is send the video to the web server allowing the homeowner to access this video by use web applications. An intrusion alert send to the owner by mean of message via mobile and buzzers alarms located at suitable distance. This system is typify proficient video camera for remote sensing and tracking with live video for succeeding play again to offers efficient and easy implementation with omnipresent surveillance solution. 

This paper presents the real time algorithm of moving objects tracking and detection using region property and color segmentation. The real time of moving objects pathway finder is a vitaldifficultyproblem in human computersinterface and video observation. The attitude of track and detect a moving objects using color characteristic and movements has introduced with new techniques for automation. The tracking of video is a method of discovery the travelthing over specific reserve by use a color camera to narrate target bodies in successive video borders. Respecting to frame rate, the relationship could be especially troublesome in case of speedy moving of objects.In interchange case, the issue grows of randomness is the time in case of the tracking objects varying the direction following eventually. For this cases, the video tracking design model are classicallyexploit the progress model willportrays process the image of the target when it CHANGE for characteristicimaginableobjects movements. A development of tracking algorithm to the real time affecting bodies with unlike frames of the videotape by use color characteristic and movement is investigated and produced in this work.