Wireless Sensor Networks And The Growth Of Mobile Computing Essay

The Hierarchical Power Aware Routing (HPAR) is a power aware routing protocol that divides the network into a group of sensors called zones [12]. In this, the cluster zones are formatted, then the decision is made that how message is routed so the battery life can be maximized. This protocol provides an approximation algorithm called max-min ZPmin algorithm. In this algorithm by applying Dijkshtra algorithm the path who consumes less power is found. Then the second path is found that maximizes the minimal residual power. The advantage is that it provides both transmission power and maximizes battery

A Wireless Sensor Network is one kind of wireless network includes a large number of circulating, self-directed, minute, low powered devices named sensor nodes called motes. These networks certainly cover a huge number of spatially distributed, little, battery-operated, embedded devices that are networked to caringly collect, process, and transfer data to the operators, and it has controlled the capabilities of computing & processing. Nodes are the tiny computers, which work jointly to form the networks. The sensor node is a multi-functional, energy efficient wireless device. The applications of motes in industrial are widespread. A collection of sensor nodes collects the data from the surroundings to achieve specific

Sensor nodes have insured wireless communication limited node capabilities. There are lots of challenges put into the sensor network. As discussed earlier WSN is definitely an infrastructure less network, therefore it communicates on the wireless network. The key challenge in WSN is the power supplied to the sensor nodes. Usually the power supplied to the sensor nodes is nonrenewable [12]. Some protocols are utilized in WSN, they are accustomed to maximize the lifetime of the network by the effective management of the power resources. The key issues are explained

Wireless sensor nodes[2] have limited resources such as limited memory and limited power. There is unreliable communication in wireless sensor network that leads to threat to sensor security. The security of network depend on communication which relies on protocol.

The main goal of communication protocols in WSNs is to maximize energy efficiency in order to

In this paper, I will mainly focus on analyzing and evaluating the current Wireless Sensor Networks (WSN). This paper starts with an overview on fundamentals of WSNs, by providing necessary background to understand

Wireless sensor network consist of a large number of sensor node with limited resource of energy, transmission power, network power, network bandwidth, and computation power. Each sensor node is able to perform some processing and sensing task independently. Each sensor node is able to communicate with each others to forward the sensing information. Sensor network can be consist of three subsystem namely sensor

T. Gui in 2016 [39] studied the mechanism of SMO in the field of WSNs in the paper “A Novel Cluster-based Routing Protocol Wireless Sensor Networks using Spider Monkey Optimization.” The study additionally showed the change in traditional routing protocols in term of low-energy consumption and system quality of the network. SMO-C protocol suggested in the paper worked for Wireless sensor networks to minimize global energy consumption.

Wireless Sensor Networks (WSN) consists of large number of sensor nodes distributed across a geographical area in highly dense manner. These nodes are of low cost and use less energy to perform various functions. These sensors have the ability to communicate with each other and route the data to next node or back to the Base Station (BS). Sensor nodes in a sensor network communicate with other nodes and collect the information.

The main problem in wireless sensor network is energy consumption. Because of energy consumption lifetime of wireless sensor network is decreased. In wireless sensor network, all sensor nodes generate data and send data to a single node called as sink (base station), via multi-hop transmissions. When all the sensor nodes collect data and forward that data to a single base station through multi-hop routing, the traffic pattern is highly non-uniform, this procedure puts a high burden on the sensor nodes which are close to the base station. Some strategies are used that balance the energy consumption of the nodes and helps to ensure maximum network lifetime by balancing the load are proposed and analysed.

A mobile wireless sensor network, shortly WMSN, can be defined as a wireless network of a sensor nodes that are mobile. Motivation behind a mobile wireless sensor network is to capture real world data and convert them so it can be transferred, processed, stored and later studied or analyzed (Guo, 2014). The MWSN is usually a combination of two or more technologies such as mobility, wireless connectivity and the ability to gather local information. The mobile wireless sensor network is usually deployment of a large number of small, inexpensive, self-powered nodes and receiving station (Kumbhare, Rangaree, & Asutkar, 2016). These MWSN can be effectively used for civil and military purposes.

Wireless sensor network (WSN) is a group of sensor nodes able to sense, measure and, gather information from the surroundings, and transmit and receive data from the user. These sensor nodes are equipped with sensors, a processor, memory, power supply, and a radio or a RF module. The sensing part of the sensor node determines the application where it will be

A wireless sensor network (WSN) is a network of nodes that sense and control the environment providing interaction between the machines and the surrounding environment. It is formed by large number of sensors nodes where each node is equipped with sensor to detect physical characteristic such as temperature, pressure, weight etc. [2]. WSN is a new revolutionary method which gathers information from sensor nodes providing a reliable and efficient network. With the growing technology of sensors, WSNs will become the key for internet of things. The current focus of sensor network is mainly on networking technology comprising of dynamic environment and the sensor nodes. The new research program of SenseIT provided the sensor networking with new capabilities such

Energy dissipation reduction:In WSNs, energy efficiency is a key design issue that needs to beenhanced in order to improve the life span of the network. The proposed protocol (EEHCBF)is able to route data efficiently in terms of energy.

Across the different field of applications, several routing protocols have been proposed to achieve enhanced network lifetime via energy efficient transmission [5]. The main cause for the energy depletion in batteries in WSN is the communication required to transmit and receive data to other nodes. Mostly the energy consumption in the network is due to transmission and reception activities. However, the energy consumed for the processing operation is less important than the energy used for communication [6].