Wireless sensor networks are expected to find wide applicability and increasing deployment in coming years, as they enable reliable monitoring and analysis of the environment. Users of such a system will expect to get a real time warning when time-critical situations occur in the network and also to be able to retrieve any required information by issuing queries to the network. In this thesis, we propose a formal classification of sensor networks, based on their mode of functioning, as proactive and reactive networks. In proactive networks data is collected at pre-specified, fixed intervals while reactive strategy requires the nodes to respond immediately ton changes in the relevant parameters of interest. We are able to combine the best features of proactive and reactive networks while minimizing their limitations to create a new type of network called a Hybrid network which not only reacts to time-critical situations, but also gives an overall picture of the network at periodic intervals in a very energy efficient manner. We introduce two new energy efficient protocols, TEEN (Threshold-sensitive Energy Efficient sensor Network protocol) for reactive networks and APTEEN (Adaptive Periodic Threshold-sensitive Energy Efficient sensor Network protocol) for hybrid networks. We have also proposed a third protocol for routing queries in hybrid networks. This protocol provides the user, flexibility to request either past, present or future data from the network in the form of historical, one-time and persistent queries respectively. We have also analytically determined the delay incurred in handling the various types of queries. To our knowledge, such an analytical modeling has been done for the first time for sensor network queries. These three protocols offer versatility to the users while consuming energy very efficiently by minimizing non-critical data transmissions. We evaluated the performance of these protocols for a simple temperature sensing application with a Poisson arrival rate for queries. In terms of energy efficiency, these protocols have been observed to outperform existing conventional warehousing sensor network protocols.

This brief provides an overview of recent developments in multi-hop routing protocols for Wireless Sensor Networks (WSNs). It introduces the various classifications of routing protocols and lists the pros and cons of each category, going beyond the conceptual overview of routing classifications offered in other books. Recently many researchers have proposed numerous multi-hop routing protocols and thereby created a need for a book that provides its readers with an up-to-date road map of this research paradigm. The authors present some of the most relevant results achieved by applying an algorithmic approach to the research on multi-hop routing protocols. The book covers measurements, experiences and lessons learned from the implementation of multi-hop communication prototypes. Furthermore, it describes future research challenges and as such serves as a useful guide for students and researchers alike.

"This book focuses on wireless sensor networks and their operation, covering topics including routing, energy efficiency and management"--

Wireless sensor network is a network of spatially distributed nodes to monitor certain application specific data. It consists of large number of sensor nodes with one or more base stations. The data is communicated from sensor nodes to the base station either directly or in multihop fashion. Routing is a key challenge in sensor networks, because nodes in the networks are constrained by energy, processing power, and memory. Such motivation drives motivation to design energy efficient routing protocols for sensor networks to prolong network lifetime. In this study i proposed a new multihop routing algorithm named energy efficient protocol using ring zone model (EEPRM). The protocol is simple and does routing decisions based on remaining energy of nodes, and does location based routing without the need for the nodes to know their positions.Simulation-based evaluation of EEPRM in OMNET++ conducted and the protocol is compared against well known protocols including An Address Light Integrated MAC and Routing Protocol for WSN, Flooding and AODV.Simulation results show that EEPRM outperforms AIMRP, AODV, and Flooding in terms of end to end delay, average hop count, and energy efficiency

Doctoral Thesis / Dissertation from the year 2017 in the subject Computer Science - Miscellaneous, , course: Ph.D Computer Science, language: English, abstract: Routing and Energy Efficiency is regarded as highly challenging area of Sensor networks. Significant advancements in Wireless Sensor Networks (WSNs) opens doors for wide implementation in real-time applications like Industrial Monitoring, Smart Cities development, Underwater monitoring operations, tracking objects and many more. Energy Efficient routing is regarded as the most challenging task. Sensor networks mostly operate in complex and dynamic environments and routing becomes tedious task to maintain as the network size increases. Lots of routing protocols- Reactive, Proactive and Hybrid are proposed by researchers but every protocol faces some limitations in terms of energy, routing, packet delivery ratio and security. Therefore, to overcome all the routing issues, the trend has shifted to Biological based Algorithms like Swarm Intelligence based techniques. Ant Colony Optimization based routing protocols have demonstrated exceptional results in terms of performance when applied to WSN routing. This thesis outlines routing protocols in sensor networks, highlight the concept of Swarm Intelligence and presents various Ant Colony Optimization based routing protocols for sensor networks. In addition to this, we present Ant Colony based Energy Efficient routing protocol (IEEMARP = Improvised Energy Efficient Multipath Ant Based Routing Protocol) for sensor networks. The proposed protocol takes into consideration various performance metrics like Packet Delivery Ratio, Throughput, Energy Efficiency, Routing Overhead and End-to-End delay. Proposed protocol is simulated and tested using NS-2.35 simulator. Simulation based results stated that IEEMARP routing protocol is overall 16% more efficient in terms of Packet delivery ratio, Energy Efficiency, Throughput, Routing Overhead and End-to-End delay as compared to other ACO based routing protocols. In addition to this, IEEMARP is highly reliable protocol to ensure timely delivery with acknowledgement packet exchange between source node to sink node and vice versa and also combats the issue of congestion and packet dropping to large extent.

Document from the year 2020 in the subject Engineering - Computer Engineering, , language: English, abstract: Sensor nodes have restricted storage, computational and energy resources, these restrictions place a limit on the types of deployable routing mechanisms. Routing protocol disseminates information that enables the sensor nodes to select routes to communicate with other nodes on the network and the choice of the route is determined by the routing algorithms. Thus the routing protocol helps the nodes to gain knowledge about the topology of the network to which it is attached directly. There are mainly two types of routing processes: one is static routing and the other is dynamic routing. In a static routing, the routing tables are set up in a static manner in the nodes. The network routes for the packet are initially set between the nodes. However, if any node on the specified route fails, the data may not reach the destination. In a dynamic routing, routing tables in the routers often change whenever the possible routes change. Dynamic routing is more suitable as the nodes in WSNs may frequently change their position and die at any moment. The routing protocols are classified into single hop and multi hop routing. In a single hop routing, sensor node directly communicates with the sink to share the gathered information. Energy consumption is high in the network using single hop protocol. In multi hop routing, data is routed through the intermediate nodes to the base station. Each node transfers sensed data to the immediate node which in turn transfers the data to the next immediate node and finally the data reaches the base station. Energy consumption in this kind of routing protocol is less and thus the lifetime of the nodes is high. The major challenge to the efficient operation of wireless sensor network lies in its ability to deliver the sensed information from the nodes to the sink within the specific time duration without the loss of data packets with high security. The sensor nodes depend on the battery source for their operation which has limited capacity. Thus the energy resource of the sensor nodes has to be used efficiently in order to increase the operational lifetime of the network.