• Title/Summary/Keyword: On-demand Geographic routing

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On-demand Geographic Routing Protocol in Wireless Sensor Networks (무선 센서 네트워크에서 On-demand 위치 기반 라우팅 프로토콜)

  • Lee, Eui-Sin;Park, Soo-Chang;Jin, Min-Sook;Park, Ho-Sung;Kim, Tae-Hee;Kim, Sang-Ha
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.7
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    • pp.495-499
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    • 2009
  • An underlying assumption in geographic routing protocols, periodic position exchange among neighbors has two problems: (1) unnecessary energy consumptions of nodes in regions without data delivery and (2) position invalidation of neighbors in forwarding data. Hence, this paper proposes an on-demand geographic routing protocol in mobile wireless sensor networks. The proposed protocol make a sender acquire position information of only necessary neighbors to reduce energy consumption in data forwarding time and determine an optimal node among them as a receiver for relaying data to a destination by considering their mobility. Simulation results show that the proposed protocol is more efficient than an existing geographic routing protocol.

A Method to Support Mobile Node in On-demand Geographic Routing Protocol (On-demand 위치기반 라우팅 프로토콜에서의 이동 노드 지원 방안)

  • Lee, Hyunjun;Lee, Kyungoh
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.127-128
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    • 2009
  • 위치기반 라우팅 프로토콜에서의 기본 가정인 이웃 노드들과의 주기적인 위치정보 교환은 노드의 이동성이 있는 경우, 그 성공률을 보장하기가 어렵다. GPSR[1]에서 제안하고 있는 1-홉 거리에 있는 노드들의 정보를 테이블로 관리하는 방식은 데이터 전달이 없는 지역에서도 주기적인 비콘의 교환으로 불필요한 에너지 소모가 있으며, 노드들의 위치가 변경되었을 때, 비콘 (beacon)을 수신한 시점의 위치정보와 데이터 전달시점의 위치정보의 불일치 가능성을 배제할 수 없다. 따라서, 본 논문에서는 노드의 이동성이 빈번한 환경의 위치기반 라우팅 프로토콜에서 데이터전달시점에 이웃 노드들의 정보를 바탕으로 다음 전송노드를 선택하는 방법을 제안한다.

Position-Based Multicast Routing in Mobile Ad hoc Networks: An Analytical Study

  • Qabajeh, Mohammad M.;Adballa, Aisha H.;Khalifa, Othman O.;Qabajeh, Liana K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.6
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    • pp.1586-1605
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    • 2012
  • With the prevalence of multimedia applications and the potential commercial usage of Mobile Ad hoc Networks (MANETs) in group communications, Quality of Service (QoS) support became a key requirement. Recently, some researchers studied QoS multicast issues in MANETs. Most of the existing QoS multicast routing protocols are designed with flat topology and small networks in mind. In this paper, we investigate the scalability problem of these routing protocols. In particular, a Position-Based QoS Multicast Routing Protocol (PBQMRP) has been developed. PBQMRP builds a source multicast tree guided by the geographic information of the mobile nodes, which helps in achieving more efficient multicast delivery. This protocol depends on the location information of the multicast members which is obtained using a location service algorithm. A virtual backbone structure has been proposed to perform this location service with minimum overhead and this structure is utilized to provide efficient packet transmissions in a dynamic mobile Ad hoc network environment. The performance of PBQMRP is evaluated by performing both quantitative analysis and extensive simulations. The results show that the used virtual clustering is very useful in improving scalability and outperforms other clustering schemes. Compared to On-Demand Multicast Routing Protocol (ODMRP), PBQMRP achieves competing packet delivery ratio and significantly lower control overhead.

A Location-based Real-time Re-routing Heuristic to Solve the VRPSPD (VRPSPD 해결을 위한 위치기반의 실시간 재경로 탐색 휴리스틱)

  • Cha, Sang-Jin;Lee, Kee-Sung;Yu, Young-Hoon;Jo, Geun-Sik
    • Spatial Information Research
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    • v.18 no.3
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    • pp.63-72
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    • 2010
  • The vehicle routing problem with simultaneous pick-up and delivery (VRPSPD) is a variant of the vehicle routing problem (VRP) that customers require simultaneously a pick-up and delivery service. The main objective of VRPSPD is to minimize a cost of routes satisfying many constraints. Traditional VRPSPD have been dealt with a static environment. The static environment means that a routing data and plan cannot be changed. For example, it is difficult to change a vehicle's routing plan so that a vehicle serves the pick-up demands of new customers during the delivery service. Therefore, traditional approach is not suitable for dynamic environments. To solve this problem, we propose a novel approach for finding efficient routes using a real-time re-routing heuristics based on the Location Based Service (LBS). Our re-routing heuristics can generate a new route for vehicle that satisfies a new customer's demand considering the current geographic location of a vehicle. Experimental results show that our methodology can reduce the traveling cost of vehicles comparing with other previous methods.