Progressive Sleep Scheduling For Energy Efficient Wireless Sensor Network

Increasing the network efficiency & reducing the power consumption are important issues in the design of applications & protocols for wireless sensor network. Sleep scheduling & routing protocol provides efficient communication with less power consumption. In this paper, we address the routing protocol for static network which reduces the computation time & power consumption. Proposed system, in practice, suitable for small & medium sized networks. In this proposed work the first module incorporates the communication between node to node & node to base station. DOI: 10.17762/ijritcc2321-8169.150313

Collaborative Approach for Improving the Scheduling and Providing Advanced Security in Wireless Sensor Network

Recent advances in Wireless Sensor Networks (WSN) have focused towards Geographic forwarding mechanism. It is a promising routing scheme in wireless sensor networks, in which the forwarding decision is determined purely based on the location of each node. Such type of Routing in Geographic domain is also useful for large multi-hop wireless networks where the nodes are not reliable and network topology is frequently changing. This routing requires propagation of single hop topology information that is the best neighbor, to make correct forwarding decisions. The research of Geographic routing has now moved towards duty cycled wireless sensor networks (WSNs). In such type of network, sensors are sleep scheduled which helps in reduction of energy consumption. It works by dynamically putting the nodes to sleep when not in use and reactivate it, when required, by using some sleep scheduling algorithms. Geographic routing is usually based on distance which is considered as its main parameter. This routing uses geographic routing oriented sleep scheduling (GSS) algorithm & geographic-distance-based connected-k neighborhood (GCKN) algorithm. The existing research was done to find out the shortest path from source to destination in Duty-Cycled Mobile sensor networks along with geographic routing, using distance as a parameter. But there may be the case when shortest path is available and the nodes are heavily loaded. Therefore, load balancing also proves to be equally important factor. Hence, this research work proposes the system that will calculate the best optimal path from source node to destination by taking into consideration the load on each node and delay incurred by each node in Duty-Cycled Mobile sensor networks along with geographic routing. The experimental results and performance analysis shows that the newly proposed approach achieves the best results in comparison with the existing system

Using Wireless Sensor Network Human Face Action Recognition System

In this project victimisation the Wireless device Network we have a tendency to implement the Human Face Action Recognition System by police investigation movements of human is one of the key applications of life science. Here we have a tendency to implementing face action recognition system by victimisation image process and algorithms with devices nodes for higher potency Existing techniques area unit police investigation movements of a target victimisation face following in wireless device network work with efficiency however victimisation sensor node we have a tendency to will collect the data, knowledge concerning human facial expressions and movements of human body and examination recent knowledge captured by sensors to the new capturing knowledge, if knowledge is matching then we have a tendency to find that person. Its authenticating the person by capturing, succeed following ability with high accuracy victimisation Wireless device Networks for that we have a tendency to area unit making new framework. we have a tendency to use the Haar Removing rule, LBP rule, optimum choice rule, Image process Technique, Face Action Recognition, huge knowledge analysis. Victimisation java, tools like web bins and varied sensors

Intertwined localization and error-resilient geographic routing for mobile wireless sensor networks

“This is a post-peer-review, pre-copyedit version of an article published in Wireless Networks. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11276-018-1836-7”Geographic routing in wireless sensor networks brings numerous inherent advantages, albeit its performance relying heavily on accurate node locations. In mobile networks, localization of the continuously moving nodes is a challenging task and location errors are inevitable and affect considerably routing decisions. Our proposal is in response to the unrealistic assumption widely made by previous geographic routing protocols that the accurate location of mobile nodes can be obtained at any time. Such idealized assumption results in under-performing or infeasible routing protocols for the real world applications. In this paper, we propose INTEGER, a localization method intertwined with a new location-error-resilient geographic routing specifically designed for mobile sensor networks even when these networks are intermittently connected. By combining the localization phase with the geographic routing process, INTEGER can select a relay node based on nodes’ mobility predictions from the localization phase. Results show that INTEGER improves the efficiency of the routing by increasing the packet delivery ratio and by reducing the energy consumption while minimizing the number of relay nodes compared to six prevalent protocols from the literature.Peer ReviewedPostprint (author's final draft