Mobility aware‐Termite: a novel bio inspired routing protocol for mobile
            <i>ad‐hoc</i>
            networks

Manjappa, Kiran; Guddeti, Ram Mohana Reddy

doi:10.1049/iet-net.2012.0203

Cited by 13 publications

(11 citation statements)

References 35 publications

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“…Very limited work is available in the area of nature-based networks. In [12], the author proposed a new mobility aware bio-inspired routing protocol for MANETs, and they also introduced a mobility aware-termite (MA-Termite) system using pheromone smoothing.…”

Section: Related Workmentioning

confidence: 99%

“…It also used to solve complex problems of information and communication technology (ICT) [11,12]. Several type of networks such as, wireless sensor networks (WSN), cognitive radio (CR), mobile ad hoc networks (MANET), and personal communication system (PCS) are using the nature-inspired computing to solve complex issues such as, routing, resource allocation, optimization, reliability, and network-related operations [11].…”

Section: Introductionmentioning

confidence: 99%

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Artificial immune system (AIS)-based location management scheme in mobile cellular networks

Biswash

Sarkar

Sharma³

2018

Iran J Comput Sci

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In this paper, we are proposing a bio-inspired location management (LM) technique for personal communication system (PSC). It is based on artificial immune system (AIS), with self-adaptation and self-update attributes to perform the location management, and helps to achieve better quality of service (QoS) and quality of experience (QoE) for the mobile users. Here, we are suggesting a modified mobile switching center (MSC) architecture, and an adaptive self-modified location management procedure. The proposed mobile switching center architecture has an advantage of rule-based and fact-based system to store the rules and facts related to location management procedure, and it shows the intelligent behavior of system. The mobile switching center calculates the best method for location management and the rule-based system trigged the rules to perform the techniques. The system stores the result (techniques for location management) in fact-based system for future use. The efficiency and effectiveness of the proposed techniques have been analyzed, and it observed that the proposed system has 45-50% improvement in performance over the current location management techniques. Here, we are using performance parameters such as signaling cost, database update cost, overhead measurement, and mobility management cost.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Artificial immune system (AIS)-based location management scheme in mobile cellular networks

Biswash

Sarkar

Sharma³

2018

Iran J Comput Sci

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“…The results show an improved packet delivery ratio (PDR). An overview about bioinspired routing protocols is given in [9] and the 'Mobility aware-Termite' algorithm is presented, which uses the node's position history to improve the path availability in combination with pheromone-based routing. It is able to outperform established reactive protocols in terms of throughput and delay.…”

Section: Swarm Exploration Plume Explorationmentioning

confidence: 99%

“…Waypoint CAE: Cluster Area Exploration[9] DDD: Distributed Dispersion Detection[11] Goal Cross-layer solution approach: utilizing predicted mobility information for the routing decisions the basic Better Approach To Mobile Adhoc Networking (B.A.T.M.A.N. )…”

mentioning

confidence: 99%

B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks

Sliwa

Behnke

Ide

et al. 2016

2016 IEEE Globecom Workshops (GC Wkshps)

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Efficient routing is one of the key challenges of wireless networking for unmanned aerial vehicles (UAVs) due to dynamically changing channel and network topology characteristics. Various well known mobile-ad-hoc routing protocols, such as AODV, OLSR and B.A.T.M.A.N. have been proposed to allow for proactive and reactive routing decisions. In this paper, we present a novel approach which leverages application layer knowledge derived from mobility control algorithms guiding the behavior of UAVs to fulfill a dedicated task. Thereby a prediction of future trajectories of the UAVs can be integrated with the routing protocol to avoid unexpected route breaks and packet loss. The proposed extension of the B.A.T.M.A.N. routing protocol by a mobility prediction component -called B.A.T.Mobile -has shown to be very effective to realize this concept. The results of in-depth simulation studies show that the proposed protocol reaches a distinct higher availability compared to the established approaches and shows robust behavior even in challenging channel conditions.

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“…Location awareness in particular has found extensive use in different types of ad hoc networks such as in VANETs, where it has been used for issues such as routing [141], QoS support [142], and security [145]. Mobility awareness has also been utilized for routing in mobile ad hoc networks [146]. In addition, CA has been used for data fusion in WSNs [147] to improve the efficiency of the process.…”

Section: Context-awareness (Ca)mentioning

confidence: 99%

Reconfigurable Wireless Networks

et al. 2015

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Abstract-Driven by the advent of sophisticated and ubiquitous applications, and the ever-growing need for information, wireless networks are without a doubt steadily evolving into profoundly more complex and dynamic systems. The user demands are progressively rampant, while application requirements continue to expand in both range and diversity. Future wireless networks, therefore, must be equipped with the ability to handle numerous, albeit challenging requirements. Network reconfiguration, considered as a prominent network paradigm, is envisioned to play a key role in leveraging future network performance and considerably advancing current user experiences. This paper presents a comprehensive overview of reconfigurable wireless networks and an in-depth analysis of reconfiguration at all layers of the protocol stack. Such networks characteristically possess the ability to reconfigure and adapt their hardware and software components and architectures, thus enabling flexible delivery of broad services, as well as sustaining robust operation under highly dynamic conditions. The paper offers a unifying framework for research in reconfigurable wireless networks. This should provide the reader with a holistic view of concepts, methods, and strategies in reconfigurable wireless networks. Focus is given to reconfigurable systems in relatively new and emerging research areas such as cognitive radio networks, cross-layer reconfiguration and software-defined networks. In addition, modern networks have to be intelligent and capable of self-organization. Thus, this paper discusses the concept of network intelligence as a means to enable reconfiguration in highly complex and dynamic networks. Key processes in network intelligence, such as reasoning, learning, and contextawareness are presented to illustrate how these methods can take reconfiguration to a new level. Finally, the paper is supported with several examples and case studies showing the tremendous impact of reconfiguration on wireless networks.

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Mobility aware‐Termite: a novel bio inspired routing protocol for mobile ad‐hoc networks

Cited by 13 publications

References 35 publications

Artificial immune system (AIS)-based location management scheme in mobile cellular networks

Artificial immune system (AIS)-based location management scheme in mobile cellular networks

B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks

Reconfigurable Wireless Networks

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