Efficient MAC Protocol Analysis Systems for Wireless Sensor Network

Energy efficiency of the MAC protocol is a key design factor for wireless sensor networks (WSNs). Due to the importance of the problem, a number of energy efficient MAC protocols have been developed for WSNs. Preamble-sampling based MAC protocols (e.g., B-MAC and X-MAC) have overheads due to their preambles, and are inefficient at large wakeup intervals. SCP-MAC, a very energy efficient scheduling MAC protocol, minimizes the preamble by combining preamble sampling and scheduling techniques; however, it does not prevent energy loss due to overhearing; in addition, due to its synchronization procedure, it results in increased contention and delay. In this paper, we present an energy efficient MAC protocol for WSNs that avoids overhearing and reduces contention and delay by asynchronously scheduling the wakeup time of neighboring nodes. To validate our design and analysis, we implement the proposed scheme on the MicaZ platform. Experimental results show that AS-MAC considerably reduces energy consumption, packet loss and delay when compared with SCP-MAC.

The efficient use of energy is an important performance metric to extend the lifetime of wireless sensor networks. Since major energy consumption of node is due to its transceiver, the design of MAC protocol plays a vital role in sensor network design. In cluster based sensor networks, due to the different functions of member node and cluster head node, the usage of common MAC protocol results increased energy consumption. To overcome this problem, a novel energy efficient hybrid MAC protocol (EEHMAC) for cluster based wireless sensor networks is proposed in this paper. The proposed EEHMAC protocol uses E-TDMA (Energy efficient TDMA) for intra-cluster communication and FDMA (Frequency Division Multiple Access) for inter-cluster communication. IDS (Iterative Deepening Search) based Scheduling algorithm is used for assigning time slot and frequency slot to nodes. Nodes in EEHMAC follow the periodic duty cycle, which reduces the idle listening, and overhearing problems. Simulation results reveal that an average of 18% energy saving is achieved compared to LEACH (Low Energy Adaptive Clustered Hierarchy) protocol and 10% energy is saved in comparison with GH-MAC (Graph theory based Hybrid MAC) protocol. It is evident that delay of EEHMAC is reduced by 17% and throughput is increased by 15% under all traffic conditions. These results demonstrate that EEHMAC performs better than existing MAC protocols in terms of energy efficiency, delay and throughput.

In providing new telecommunication services, the requisition for quality of network is more and more popular and sophisticated with high bandwidth, small value of delay time or packet loss etc. To assure the quality of network, the localized routing schemes have recently been researched as a promising alternative to the currently deployed global QoS routing schemes. Different from the traditional QoS routing algorithms which use global state information, the localized routing algorithms use local information collected from source node to make routing decisions. These localized routing algorithms can be solutions to meet the demand of telecom market in the near future. In this paper, we study and propose one model of localized QoS routing algorithm, which uses distributed routing type to route flows. We perform it with experiments, compare and realize the more considerable performance of this algorithm than other algorithms, which use the same conditions of simulation. From that, we imply that localized QoS routing algorithm using distributed routing works more effectively than other types of routing algorithm.

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MAC protocol design in Wireless sensor networks becomes vibrant research field for the past several years. In this paper an EE-Hybrid MAC protocol (Energy efficient hybrid Medium Access Control) has been proposed, which is energy efficient and low latency MAC protocol, which uses interrupt method to assign priority for certain wireless sensor nodes assumed to be present in critical loops of industrial process control domain. EE-Hybrid MAC overcomes some of the limitations in the existing approaches. Industrial wireless sensor network require a suitable MAC protocol which offers energy efficiency and capable of handling emergency situations in industrial automation domain. Time critical and mission critical applications demands not only energy efficiency but strict timeliness and reliability. Harsh environmental condition and dynamic network topologies may cause industrial sensor to malfunction, so the developed protocol must adapt to changing topology and harsh environment. Most of the existing MAC protocols have number of limitations for industrial application domain In industrial automation scenario, certain sensor loops are found to be time critical, where data’s have to be transferred without any further delay. The proposed EE-Hybrid MAC protocol is simulated in NS2 environment, from the result it is observed that proposed protocol provides better performance compared to the conventional MAC protocols.

In this paper, we propose a light-weight and adaptive scheduling-based media access control protocol (LASMAC) for wireless sensor networks. Our primary goal is to achieve an energy-efficient and traffic-adaptive TDMA-based MAC protocol with low-overhead slot reservation. In our protocol, each node dynamically and flexibly assigns slots by exchanging information on the number of slots it wants to send within neighbors by contention-based access. The overhead of control packets in slot reservation is reduced. In addition, the duration of active period in random access for slot reservation is dynamically changed based on the traffic. Performance evaluation by simulation shows that our proposed MAC protocol is more energy-efficient than previous methods keeping throughput under hotspot traffic

Although existing wakeup scheduling techniques suggest end-to-end delay guarantees for real-time applications, their fixed wakeup schedules may not meet such constraints when multiple sensors compete for the event delivery at the same time. In this paper we propose a new MAC protocol called SPEED-MAC that can provide real-time delay guarantees with much lower energy consumption for both single-source and multi-source events. The main ideas underlying the protocol are twofold. First, we introduce a novel wakeup technique called signaling wakeup, which is small only enough to detect the event occurrence. By employing the signaling wakeup we can minimize the event report latency as well as the idle listening. Second, to resolve the collisions and contentions incurred by multi-source events, the protocol employs adaptive wakeup that combines static scheduling with contention-based media access control depending on the type of traffic. The result of our analytic evaluation confirms that SPEED-MAC can provide real-time delay guarantees even for a large-scale network assuming a low event rate. We have implemented SPEED-MAC on both NS-2 and MICA2 platforms, and evaluated both the energy and the network performance of the protocol for various scenarios including multi-source, multi-sink, source-to-sink, sink-to-source, multi-cast and broadcast traffic. Our experimentation results show that SPEED-MAC can achieve an order of magnitude energy savings while providing near optimal latency compared to the existing solutions.

In a localized routing algorithm, node A currently holding the message forwards it based on the location of itself, its neighboring nodes and destination. We propose to use depth first search (DFS) method for routing decisions. Each node A, upon receiving the message for the first time, sorts all its neighbors according to a criteria such as their distance to destination and uses that order in DFS algorithm. It is the first localized algorithm that guarantees delivery for (connected) wireless networks modeled by arbitrary graphs, including inaccurate location information. We then propose the first localized QoS routing algorithm for wireless networks. It performs DFS routing algorithm after edges with insufficient bandwidth or insufficient connection time are deleted from the graph, and attempts to minimize hop count. This is also the first paper to apply GPS in QoS routing decisions, and to consider the connection time (estimated lifetime of a link) as a QoS criterion. The average length of measured QoS path in our experiments, obtained by DFS method, was between 1 and 1.34 times longer than the length of QoS path obtained by shortest path algorithm. The overhead is considerably reduced by applying the concept of internal nodes.

A novel low power medium access protocol energy efficient MAC (EE-MAC) for wireless sensor network is proposed in this paper. EE-MAC targets for improving energy efficiency, delay performance and packet delivery ratio by considering various load conditions of the network. This protocol is based on the hybrid of TDMA and FDMA approaches. The novel idea behind EE-MAC is that it uses the priority concept with hybrid MAC scheduling in order to achieve its objectives. The performance of EE-MAC is obtained through simulations for various packet sizes, traffic loads, and different scenarios which show significant improvements in packet delivery ratio, energy efficiency, and delay compared to existing protocols.

This work presents a TDMA based multi-channel MAC protocol called TMMAC for Ad Hoc Networks. TMMAC requires only a single half-duplex radio transceiver on each node. In addition to explicit frequency negotiation which is adopted by conventional multi-channel MAC protocols, TMMAC introduces lightweight explicit time negotiation. This two-dimensional negotiation enables TMMAC to exploit the advantage of both multiple channels and TDMA, and achieve aggressive power savings by allowing nodes that are not involved in communication to go into doze mode. Moreover, TMMAC dynamically adjusts its negotiation window size based on different traffic patterns, which further improves communication throughput and energy savings. In this paper, the performance of TMMAC is analyzed and evaluated. The evaluations show that TMMAC achieves up to 113% higher communication throughput while consuming 74% less per packet energy over the state-of-the-art multi-channel MAC protocols for single-transceiver wireless devices.

CF-MAC is an energy efficient collision-free MAC protocol for wireless ad-hoc networks, based on the theory of Balanced Incomplete Block Design (BIBD). It has been originally designed considering energy saving as primary aim. In this paper, using computer simulations, its ability to handle voice calls has been evaluated. Specifically, the Mean Opinion Score and the Cumulative Distribution Function of the one way packet delay have been analyzed, for various protocol parameters and network scenarios. Moreover, a comparison between CF-MAC and classical 802.11 DCF access function has been proposed. Simulation results have shown that by properly selecting protocol parameters, CF-MAC can effectively support VoIP calls.

Wireless Sensor Networks (WSNs) have become increasingly prominent, especially as they are integral to the expanding realm of Internet of Things (IoT). The IoT ecosystem is composed of many small Sensor Nodes (SNs) that operate on finite battery resources. These SNs are scattered across an area where they perform the function of detecting and gathering environmental data. The information they amass is relayed to a main Base Station (BS) for further examination and action. One of the paramount issues in the IoT space is the need for effective routing strategies that can navigate the challenges posed by the limited power reserves of the SNs. This chapter provides an in-depth examination of various routing algorithms within the IoT framework that utilize Machine Learning (ML) methods. These protocols incorporate complex techniques, such as Distributed Regression (DR), Self-Organizing Map (SOM), and Reinforcement Learning (RL) to enhance their efficiency. The objective of this research is to highlight how ML-infused routing approaches can successfully adapt to changing network dynamics and continuously evolving demands. The pivotal contribution of WSNs to IoT applications is crucial. With the escalating need for instantaneous data capture and analysis, it is essential to craft routing mechanisms that not only extend the functional life of SNs but also ensure efficient data transmission to the base station. This chapter scrutinizes machine learning-aware routing protocols, evaluating their flexibility and growth potential. It offers a perspective on how these protocols are evolving to keep pace with the dynamic requirements of contemporary WSNs.

Energy conservation in MAC protocol is a focal point for researchers for a long time. One of the main reasons is that sensor nodes are left unmonitored for a phase of time with only the inbuilt battery as the sole source of energy power. It’s the onus of MAC protocol to efficiently consume this available source of energy. It must be carefully designed in a way there is no wastage of energy source. Control packets in wireless sensor networks not only degrade packet transmission time but also suck out energy from the energy source built in the wireless sensor nodes. When the control packets collide and there is a need resend the control packets it adds up to further energy loss. A better energy efficient MAC protocol must aim at reducing the adoption of control packets following around the network instead give way for data packets to flow around. The energy efficient deteriorates when the nodes undergo too many overhead steps in MAC protocol thereby transmitting lesser packets in given time. In this paper a new protocol namely IWMAC-invite and wait MAC protocol which leverages efficient use of battery power in wireless sensor nodes. With IWMAC the nodes are enabled to transmit minimal control packets and deliver more data packets in a given time. The energy of the nodes are used primarily in actual data transmissions rather than succumbing to overhead of control packets, channel reservation, back off which drains out the energy source in sensor nodes.

In this paper, we propose energy efficient MAC protocols for data gathering tree structure. The basic concept of the proposed protocol is that it reduces traffic overloads in low depth nodes by introducing full sleep state for one frame. To maximize network performance, we only control traffic from non-relay nodes which are leaf nodes in the tree. We introduce a new superframe structure for pre-scheduling to alleviate contentions and packet collisions between children nodes. In addition, leaf nodes go into a full sleep mode for one superframe in heavy traffic loads by using control packets, which results in a considerable reduction of energy consumption at low depth nodes. Simulation results show the proposed protocol saves more energy and achieves better packet delivery ratio compared to the DMAC with a moderate increase of a latency performance.

Performance analysis of an adaptive, energy-efficient MAC protocol for wireless sensor networks