Survey Of Technologies : Energy Efficiency

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

GEAR does not require the need for a location database and assumes the static sensor node in the network field. It is assumed that each node is attached to a GPS device to get its current location in the network and also assumed that each node knows its remaining energy level and its neighbor’s location and remaining energy level through a simple neighbor hello protocol.

A WSN is a type of wireless networks that consists of collection sensor nodes which are tiny devices. Each sensor node of the network has different processing capability. It may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion [13, 14]. Optimum need of each sensor node is to maximize its own utility function. Also the whole network requires resource assignments balance to perform in a useful and efficient way. This chapter presents a brief survey on WSNs showing its types, characterizing features, protocols and applications.

After electing CHs, every CH announces all sensor nodes in the network that it is the new CH. When each node receives the announcement, it chooses its desired cluster to join based on the signal strength of the announcement from the CHs to it. So, the sensor nodes inform their appropriate CH to join it. Afterwards, the CHs based on a TDMA approach assign the time slot to each node so that a member can send its data to its CH in this period. The sensor nodes can initiate sensing and transmitting data to the CHs during the steady state phase. The CHs also aggregate data received from the nodes in their cluster before sending these data to the BS via a single hop fashion. D. Hybrid Energy Efficient Distributed Clustering [HEED] Younis and Fahmy proposed an iterative clustering protocol, named HEED. HEED is different from LEACH in the way CHs are elected. Both, electing the CHs and joining to the clusters, are done based on the combination of two parameters. The primary parameter depends on the nodes residual energy. The alternative parameter is the intra cluster “communication cost”. Each node computes a communication cost depending on whether variable power levels, applied for intra cluster communication, are permissible or not. If the power level is fixed for all of the nodes, then the communication cost can be proportional to (i) node

After two additional weeks of real-time metering, Intel examined the energy use of the two groups.

3.2.18 MST-PSO: Minimum Spanning Tree-PSO Authors proposed a base spreading over tree-PSO based clustering algorithm of the weighted chart of the WSNs. The optimized route between the nodes and its cluster heads is looked from the whole ideal tree on the premise of energy consumption.

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

A number of protocols have been proposed to reduce useful energy consumption. These protocols can be classified into three classes. Protocols in the first class control the transmission power level at each node to increase network capacity while

A Wireless Sensor Network usually is formed by numerous wireless sensor devices. Routing is an important mechanism which will help the data to get forwarded to the right destination. Internet Protocol is an important protocol which helps in routing process. Generally the nodes in a Wireless Sensor Network are integrated and routing using IP version 4 is difficult as the address space is limited. IP version 4 uses 32 bit addressing mechanism which is not sufficient to complete the routing process. The other option is the use of Internet Protocol version 6.

A wireless sensor network (WSN) is a collection of large number of sensor nodes and at least one base station. The sensor node is an autonomous small device that consists of mainly four units that are sensing, information gathering, processing and communication. In wireless sensor network there of many issues that are much affects in communication, processing and in deployments. The main issue is its coverage and connectivity problem. Most of the times communications does not prohibited properly amongst sensors and base station due lacking of ranges problem. Full coverage and connectivity means that every location in the field is covered by at least one node and

Abstract—In wireless sensor network (WSN), many novel architectures, protocols, algorithms and applications have been proposed and implemented for energy efficiency. The efficiency of these networks is highly dependent on routing protocols which directly affecting the network life-time. Cluster formation in sensor network is one of the most popular technique for reducing the energy consumption and expand the lifetime of the sensor network. There are various cluster formation techniques used in wireless sensor network. In which, Particle Swarm Optimization (PSO) is simple and efficient optimization algorithm, which is used to form the energy efficient clusters with optimal selection of cluster head. The comparison is made with the well-known cluster based protocols developed for WSN, LEACH (Low Energy Adaptive Clustering Hierarchy) and LEACH-C as well as the traditional K-means clustering algorithm. A comparative analysis shown in the paper and come to the conclusion based on some parameters.

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.

HEBM (Hierarchical Energy-Balancing Multipath routing protocol for Wireless Sensor Networks)[70],introduce a novel hierarchical approach. It is proposed to degrading the general network energy consumption and balancing the energy clearing away among the sensor nodes, consequently, prolong the lifetime of the network. In order to achieve these two valuable approaches, the cluster-heads are carefully designed and distributed appropriately over the area of interest which. Moreover, nodes radio is turned off periodically according to sleeping control rules,

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.

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].