Optimal Coverage in Wireless Sensor Network using Augmented Nature-Inspired Algorithm

           One of the difficult problems that must be carefully considered before any network configuration is getting the best possible network coverage. The amount of redundant information that is sensed is decreased due to optimal network coverage, which also reduces the restricted energy consumption of battery-powered sensors. WSN sensors can sense, receive, and send data concurrently. Along with the energy limitation, accurate sensors and non-redundant data are a crucial challenge for WSNs. To maximize the ideal coverage and reduce the waste of the constrained sensor battery lifespan, all these actions must be accomplished. Augmented Nature-inspired algorithm is showing promise as a solution to the crucial problems in “Wireless Sensor Networks” (WSNs), particularly those related to the reduced sensor lifetime. For “Wireless Sensor Networks” (WSNs) to provide the best coverage, we focus on algorithms that are inspired by Augmented Nature in this research. In wireless sensor networks, the cluster head is chosen using the Diversity-Driven Multi-Parent Evolutionary Algorithm. For Data encryption Improved Identity Based Encryption (IIBE) is used.  For centralized optimization and reducing coverage gaps in WSNs Time variant Particle Swarm Optimization (PSO) is used. The suggested model's metrics are examined and compared to various traditional algorithms. This model solves the reduced sensor lifetime and redundant information in Wireless Sensor Networks (WSNs) as well as will give real and effective optimum coverage to the Wireless Sensor Networks (WSNs)

MAC Protocols Used by Wireless Sensor Networks and a General Method of Performance Evaluation

Many researchers employ IEEE802.15.4 as communication technology for wireless sensor networks (WSNs). However, medium access control (MAC) layer requirements for communications in wireless sensor networks (WSNs) vary because the network is usually optimized for specific applications. Thus, one particular standard will hardly be suitable for every possible application. Two general categories of MAC techniques exist: contention based and schedule based. This paper explains these two main approaches and includes examples of each one. The paper concludes with a unique performance analysis and comparison of benefits and limitations of each protocol with respect to WSNs

Relay selection methods for maximizing the lifetime of wireless sensor networks

Combined analytical and fuzzy techniques are proposed for improving the battery lifetime, performance, as well as energy efficiency of wireless sensor networks (WSNs) with the aid of efficient relay selection methods. We determine the best relay selection method by striking an appealing performance versus network lifetime trade-off. Furthermore, the beneficial regions of cooperation are determined considering asymmetric traffic scenarios, where relaying provides energy saving

Towards Efficient Wireless Video Sensor Networks: A Survey of Existing Node Architectures and Proposal for A Flexi-WVSNP Design

Wireless sensor networks (WSNs) capable of capturing video at distributed video sensor nodes and transmitting the video via multiple wireless hops to sink nodes have received significan

Energy Efficient Algorithm & Protocol For Wireless Industrial Sensor Network

Wireless sensor networks (WSNs) consists ofunattended sensors with limited storage, energy (battery power)and computation and communication capabilities. So, energy efficient mechanism for wireless communication on each sensor node is so crucial for wireless sensor networks. Wireless industrial sensor networks are wireless sensor networks which have been adapted to industrial applications. Most techniques for wireless sensor networks can be applied to wireless industrial sensor networks. A wireless sensor node is often powered by battery which is not easily replaced, so researching how to use itslimited energy effectively is the meaningful for wireless sensor networks(WSNs). Energy routing protocol is suitable for industrial applications due to its capability of energy efficient,real-time,reliable comm.& energy efficient algorithm is provided which based on power control

Time-of-Flight Ranging for WSN Locationing (Project Information Sheet)

To develop a narrow-band RF-based Time-of-Flight (ToF) ranging method with sub-meter ranging resolution which can be adopted in wireless sensor networks (WSNs) for the purpose of localising sensor nodes. The use of RF will enable point-to-point ranging over larger distance (>50m) than current Ultra-wideband (UWB) based TOF systems with significantly less use of channel bandwidth