Performance Analysis of Heed Over Leach and Pegasis in Wireless Sensor Networks
Wireless sensor networks are an active research domain in sensing and communication. Routing data in the wireless sensor network endure from several challenges viz., reliable transmission scalability, packet loss, energy constraints etc. This paper simula
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Performance Analysis of Heed Over Leach and Pegasis in Wireless Sensor Networks Gaurav Kumar Nigam and Chetna Dabas
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Introduction
Wireless sensor Networks (WSN) consists of a large number of low powered sensor nodes typically in the range of hundreds to thousands in number that are multifunctional and they are deployed in a hostile environment [1]. Sensor nodes are tiny in size that have finite battery power that is non replaceable. There are various applications of WSN like Military application, health application, home application etc. [2]. There are various challenges and design issues in WSN like node deployment, routing, energy consumption, fault tolerance, coverage, connectivity and QoS i.e. quality of service. We may find Routing as a major challenge in WSN since there are huge amount of sensor nodes involved, therefore it is needed to develop a global addressing proposal for the distribution of sensor nodes. Energy consumption is the main focus in WSN as the battery power is limited and it is not suited to recharge the battery as the node are randomly deployed in an area as needed. So, various energy efficient routing techniques are used for energy conservation in WSN. Energy conservation is a important phenomenon in Wireless sensor Networks. Since they are randomly distributed in a hostile environment it is difficult to monitor the battery power at regular intervals. If a node dies earlier then it may cause instability in network [2, 3]. So, to achieve the goal all nodes should be in working condition. One barrier we found in this is the unbalanced energy rate. There are already various techniques to improve the consumption of energy rate like clustering, data aggregation and routing. For a large scale WSNs, we may find multiple G.K. Nigam (✉) Jaypee Institute of Information Technology, Sector-128, Near Jaypee Wish Town, Noida, India e-mail: [email protected] C. Dabas Jaypee Institute of Information Technology, Sector-62, Noida, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 S.-I. Ao et al. (eds.), Transactions on Engineering Technologies, DOI 10.1007/978-981-10-2717-8_19
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base stations as one of the possible solution. This is performed by shortening the distance or path between the base station and the sensor node and thereby saving the consumption of energy for operation of transmissions. To accomplish the efficiency, group of multiple base stations is to be placed in the sensing area. However, energy saving is not a effective measure to increase the network lifetime because there may be depletion of uneven energy in partitioning of network and the coverage ratio, if it is low then it lowers the network performance. Designing efficient energy consumption protocol is the main focus in WSN as the we are using battery power, that is limited, and it is not suited to recharge the battery as the node are randomly deployed in an area as needed [4]. So, various energy efficient routing techniques are used for energy conservation in WSN [5
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